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Voxology is redefining patient engagement with AI-driven solutions designed to streamline healthcare access and administrative processes. Our mission is to enable healthcare providers to deliver effortless, patient-centric experiences.
Through advanced conversational AI, we power seamless communication across voice, text, and chat—reducing wait times, improving access, and enhancing the overall patient experience. By integrating with leading EMRs, we simplify the end-to-end patient journey, from scheduling and intake to financial clearance and follow-up, allowing providers to focus on delivering exceptional care.
We’re looking for a healthcare front office professional to help improve the quality and accuracy of AI-driven patient interactions.
This is a part-time (5–10 hrs/week), remote role where you’ll review real patient calls, identify issues, and help refine how AI agents handle scheduling, intake, and patient communication.
If you’ve worked at a front desk, call center, or in patient access, this is a great opportunity to get exposure to AI while leveraging your real-world experience.
- Listen to recorded patient calls and review transcripts
- Identify issues in conversations (missed scheduling opportunities, incorrect responses, confusing workflows)
- Provide clear, actionable feedback on what should have happened instead
- Tag and label conversations (patient intent, outcomes, error types)
- Ensure AI workflows align with real-world front office processes
- Identify patterns and recurring issues across interactions
- 1+ year experience in a healthcare front office role, such as:
- Patient Access Representative
- Medical Receptionist
- Scheduling Coordinator
- Healthcare Call Center Agent
- Strong attention to detail
- Comfortable reviewing calls/transcripts and providing structured feedback
- Understand how real patient conversations and workflows operate
- Experience with EMRs (Athena, NextGen, Epic, etc.)
- Exposure to scheduling, insurance verification, or referral workflows
- Prior QA, auditing, or call review experience
- Work on real-world AI used by healthcare providers
- Directly impact patient experience and access to care
- Flexible, part-time schedule
- Strong entry point into healthcare + AI
- Location: Remote
- Time Commitment: 5–10 hours per week
- Compensation: $20–$40/hour (based on experience)
Collectiv is seeking a dynamic, results-driven Business Development Executive with a growth mindset and a hunter mentality to drive new business in a complex consulting environment. This role requires a proven track record in selling Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI-driven technologies.
Join Our TeamAre you passionate about leveraging Data & AI to drive business transformation? At Collectiv, we empower organizations to unlock the full potential of Microsoft's Data & AI ecosystem. As part of our team, you'll build strong client relationships, drive strategic growth, and sell impactful solutions that shape the future of data-driven decision-making.
Skills and Experiences- Experience selling Microsoft Data & AI consulting services is required.
- Proven success in selling consulting engagements related to Microsoft Fabric, Power BI, Azure, Databricks, Copilot, and AI/ML solutions is required.
- Proven track record as a proactive business developer, excelling in identifying and closing net-new opportunities in a competitive market is required.
- Ability to act as a trusted advisor, addressing complex business challenges with data strategy, analytics, and AI-driven solutions.
- Experience selling at the C-suite level, driving strategic business transformation.
- Growth mindset, with a focus on overcoming obstacles, executing high impact initiatives, and delivering tangible business outcomes.
- You are a proactive dealmaker who excels at identifying and closing high-value opportunities in the Data & AI space.
- You are a self-motivated, strategic thinker who thrives in complex sales cycles and consultative engagements.
- You bring energy, collaboration, and perseverance, navigating challenges to drive successful outcomes.
- You have exceptional interpersonal skills, building trusted relationships with clients, partners, and internal teams.
- You anticipate challenges and address objections with a solutions-oriented, consultative approach.
- You are a persuasive communicator and influencer, effectively aligning technology solutions with business needs.
- Specialize in Microsoft Data & AI solutions, including Microsoft Fabric, Power BI, Azure, and AI-driven technologies.
- Identify, develop, and close high-impact data transformation opportunities, managing the entire sales lifecycle.
- Drive revenue growth by cultivating strong relationships with enterprise and mid-market clients.
- Partner closely with Microsoft teams and ecosystem collaborators, leveraging co-sell opportunities and joint go-to-market strategies.
- Build and maintain a strong sales pipeline, ensuring consistent and sustainable business expansion.
- Stay ahead of market trends, competitive landscapes, and emerging Microsoft Data & AI advancements to offer informed solutions.
- Work in collaboration with Collectiv's consulting and delivery teams, ensuring smooth transitions from sales to execution for client success.
Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.
Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.
Our mission at Collectiv is simple: We help enterprises make better decisions.
Our Core Values:
Growth Mindset Bring solutions, not problems.
Excel with Humility Be humbly brilliant.
Communicate Actively and Empathically Listen, ask, understand, help.
Work Hard, Play Hard Results are proportional to effort.
Keep Calm and Carry On Stay cool, calm and Collectiv.
Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.
Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.
Our offices have onsite fully equipped state of the art gyms for employees at zero cost.
Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.
We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.
Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.
Granite was recently named One of Forbes Best Employers for Diversity.
Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.
If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.
EOE/M/F/Vets/Disabled
Job Description
We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:
- Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
- Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
- Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
- Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.
Duties and Responsibilities
- Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
- Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
- Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
- Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
- Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
- Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
- Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
- Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
- Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
- Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
- 5+ years of proven experience developing and deploying production-grade AI/ML systems.
- Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
- Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
- Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
- Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
- Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
- Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
Preferred Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
- Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
- Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
- Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
- Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
- Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
- Experience in regulated industries or environments requiring strict compliance and data governance standards.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Hands-On Product Manager — AI-Native Recruiting Platform (HireHQ)
Build the AI operating system for recruiting.
HireHQ is building the next generation AI-native recruiting platform — one that eliminates manual recruiter workflows and replaces them with intelligent automation, AI copilots, and decision intelligence.
Traditional ATS platforms were built for record keeping.
HireHQ is building a recruiting operating system that helps companies find, evaluate, and hire the best talent faster.
We are looking for a highly hands-on Product Manager who can help design and ship this future.
This is not a traditional PM role. You won’t just write tickets and manage roadmaps.
You will:
- Prototype product ideas yourself
- Use AI tools to rapidly build concepts
- Work directly with engineers
- Drive automation across recruiting workflows
- Ship AI-native features quickly
If you like building products at the intersection of AI, automation, and recruiting, you’ll thrive here.
What You'll Work On
You’ll help build core capabilities of the HireHQ recruiting platform, including:
AI Candidate Discovery
- AI-powered candidate search
- Intelligent candidate matching
- Automated candidate enrichment
- Talent graph and candidate insights
AI Screening & Evaluation
- Resume and profile understanding
- AI candidate scoring and ranking
- Interview intelligence and summarization
- Automated screening workflows
Recruiter Copilots
- AI recruiter assistants
- Automated outreach generation
- Pipeline prioritization
- Smart next-action recommendations
Candidate Experience
- AI-powered communication
- Automated follow-ups
- Interview scheduling automation
- Candidate journey insights
Recruiting Automation
- Workflow orchestration across the hiring pipeline
- Intelligent routing and task automation
- AI-driven pipeline management
- Recruiter productivity tools
Our goal is simple:
Reduce manual recruiting work by 80% while improving hiring outcomes.
What You'll Actually Do
You will operate like a product builder.
Ship Products
- Own product areas end-to-end
- Work directly with engineers to design solutions
- Move from idea → prototype → shipped feature quickly
Prototype With AI
You’ll actively use tools like:
- Cursor
- GitHub Copilot
- Claude
- ChatGPT
- Figma
to rapidly create:
- product mockups
- workflows
- prototypes
- PRDs
- user stories
- experimentation plans
We expect PMs to use AI as a force multiplier, not just write docs.
Design AI-Native Workflows
You'll help design product systems that use:
- LLMs
- semantic search
- embeddings
- candidate matching
- summarization
- automation engines
to eliminate manual recruiting work.
Drive Automation
You will constantly ask:
"Why is a human doing this?"
Then build systems that automate it.
Work Extremely Closely With Engineering
You will collaborate daily with engineers to:
- shape product architecture
- refine technical tradeoffs
- ship features quickly
- iterate with real customer feedback
What We're Looking For
Experience
- 5+ years in product management
- Experience building recruiting or HR tech products
Examples include:
- Applicant Tracking Systems (ATS)
- Recruiting CRM platforms
- Candidate engagement tools
- Talent sourcing platforms
- Interview platforms
- Talent intelligence platforms
You deeply understand how recruiting actually works.
AI Product Thinking
You’ve helped build or design AI-enabled product capabilities, such as:
- candidate matching
- screening automation
- workflow automation
- recommendation systems
- AI copilots
- search and ranking systems
Builder Mindset
You like creating things, not just planning them.
You are comfortable:
- prototyping ideas
- creating workflows
- building product concepts independently
- using AI tools to accelerate execution
Comfort With Ambiguity
This is a startup environment.
You should enjoy:
- fast iteration
- unclear problems
- ownership
- shipping quickly
Strong Candidates Often
- Previously worked at HR tech or recruiting tech companies
- Have built ATS or recruiting workflow products
- Use AI tools daily for product development
- Think about automation and workflow intelligence
- Care deeply about shipping useful products quickly
What Success Looks Like
Within your first 3 months:
- Recruiters using HireHQ spend dramatically less time on manual tasks
- AI features automate key recruiting workflows
- Customers rely on AI insights to prioritize candidates
- Recruiters move from administrative work → strategic hiring
Why This Role Is Different
Most recruiting software was designed 15–20 years ago.
HireHQ is rebuilding recruiting software from the ground up using:
- AI agents
- workflow automation
- intelligent candidate matching
- recruiter copilots
This role is an opportunity to help build the AI operating system for hiring.
Join the team leading the next evolution of virtual care.
At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.
Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.
Summary of Position
The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.
This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.
The ideal candidate combines:
* Strong security engineering and cloud architecture experience
* Deep, current familiarity with modern AI/LLM tooling and practices
* Familiar and can cover basic coding within the AI tooling space (python, others)
* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy
Essential Duties and Responsibilities
Secure AI / ML platforms and workloads
* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.
* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.
* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.
* Partner with data science and MLOps teams to harden:
- Data ingestion and labeling
- Training and fine-tuning pipelines
- Model registries and deployment workflows
- Inference APIs, agents, and integrations
* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.
AI use case intake & governance
* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.
* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.
* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.
* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.
* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.
Monitoring, detection & assurance
* Establish and maintain monitoring and detection for AI-specific threats, such as:
- Prompt injection and jailbreak attempts
- Data exfiltration and sensitive data exposure
- Misuse or abuse of AI tools and agents
- Anomalous model or pipeline behavior
* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.
* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.
Strategy, leadership & enablement
* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.
* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.
* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.
* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.
Qualifications Expected for Position
- 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
- 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
- Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
- Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
- Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
- Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
- Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.
Preferred Qualifications:
* Practical experience securing LLM- and genAI-based systems, such as:
- RAG architectures backed by internal data
- AI assistants, copilots, or agents integrated with enterprise tools
- Fine-tuned models and model hosting platforms
* Experience with AI IDE tools
- cursor, windsurfer, others
- Knows the security problems and has practical solutions that balances innovation with innovation.
* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).
* Experience with:
- Security for data pipelines, feature stores, and model registries
- Detection engineering or SIEM tuning for AI-related events
- Red-teaming or adversarial testing of AI systems
* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).
* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.
* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.
* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.
* High level of integrity and ethical conduct.
This role is a fit if you:
* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.
* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.
* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.
* Can move fluidly between deep technical discussions and concise, executive-level explanations.
This role is not a fit if you:
* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.
* Do not actively engage with current AI/LLM tooling, research, and emerging practices.
* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"
* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"
* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"
The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.
We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.
As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.
Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Why join Teladoc Health?
Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.
Join the team leading the next evolution of virtual care.
At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.
Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.
Summary of Position
The AI SolutionsSpecialistis responsible forpartnering with business and technology stakeholders to design, integrate, and deliver AIpowered conversational agents and workflow automation solutions across the enterprise. This roleleads tothe technical implementation of AI platforms and agent development tools, ensuring secure, scalable, and compliant solutions that drive productivity and business value.Deep coding expertise is notrequired. However, the candidate must understand modern technology stacks, AI concepts, and system integration terminology.The ideal candidate will thrive inan evolving,fast-changingenvironment,where AI capabilities and standards continue to mature.Essential Duties and Responsibilities
- Work closely with business stakeholders toidentifyautomation opportunities.
- Lead the technical set up and integration ofconversational AI platform & agent development studiowithin the enterprise environment.- copilot agents preferred, deploying across enterprise not for personal use.
- Analyze business processes, data flows, and system architectures to support AI solution design.
- Support configuration and deployment of AI-powered agents,applications,and workflows.
- Design,build,and customize AI agents to automate workflows and improve productivity.
- Utilizedata platforms such asMicrosoft Fabric, Snowflake, Databricks, AWSfor data orchestration, governance, and compliance.
- Ensure seamless interoperabilityof agentsacrossMicrosoft and other enterprise applications asrequired.
- Evaluateand implement secure API integrationswith enterprise systems using APIsandconnectors to enable data exchange and workflow automation.
- Apply best practices for data security, identity management, and compliance with organizational and regulatory standards.
- Apply analytical judgment to assess feasibility, scalability, data readiness, and risks of AI use cases.
- Collaborate withcybersecurityand product teams to build robust AI solutions
- Test new AI agent enhancements, integrations, and fixes prior to release to ensure quality and expected behavior.
- Track and analyze performance metrics, including response quality, speed, reliability, andcost-effectivenessof AI agents and automated workflows.
- ContinuouslyoptimizeAI solutions based on performance data, user feedback, and evolving business needs.
- Document requirements, solution designs, architecture diagrams, and integration approaches in a clear and concise manner.
- Contribute to internal standards, reusable patterns, and best practices for AI agent and automation development.
- Support knowledge sharing and enablement across technical and business teams.
Qualifications Expected for Position
- Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related fieldor equivalent combination of education and relevant professional experience.
- Advanced certifications or coursework in cloud platforms, data engineering, or AI/ML preferred.
- 3+years of experience in solution architecture, systems integration, automation engineering, or applied AI roles.
- 1+ year demonstrated ability to design, build, and deployAI-poweredagents, workflows, or conversational applications.
- Proven experience working directly with business stakeholders to translate operational needs into scalable technical solutions.
- Hands-on experience implementing enterprise automation or conversational AI solutions across multiple departments or use cases.
- Experienceoperatingin regulated orsecurity-consciousenvironments, supporting compliance and governance requirements.
- Strong experience designing and implementing enterprise system integrations using APIs, connectors, and automation frameworks.
- Experience working with modern data platforms (e.g.,Microsoft Fabric, Snowflake, Databricks, AWS) to support data orchestration, access control, and compliance.
- Solid understanding of identity management, access controls, and data security best practices.
- Ability to assess AI solution feasibility, including data readiness, scalability, performance, and cost considerations.
- Strong analytical andproblem-solvingskills with the ability to apply sound judgment to ambiguous or emerging AI use cases.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to nontechnical audiences.
The base salary range for this position is$130,000 - $140,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.
We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.
As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.
Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Why join Teladoc Health?
Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.
Join the team leading the next evolution of virtual care.
At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.
Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.
Summary of Position
As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example.
Essential Duties and Responsibilities
Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners.
Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production.
Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow.
Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs.
Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI.
Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently.
Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up.
Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data.
Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap.
Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority.
Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk.
The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.
Supervisory Responsibilities
No
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable.
7+ years of experience in software engineering.
Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling.
Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs.
Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support.
Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns).
Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response).
Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs.
Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality.
Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders.
Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews.
Bonus Qualifications
Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations.
Experience with Azure and containerized deployments (or similar cloud-native environments).
Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams.
Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores).
The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.
#LI-SS2 #LI-Remote
We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.
As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.
Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Why join Teladoc Health?
Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.
Ares Management Corporation (\"Ares\" or the \"Firm\") is a publicly traded, leading global alternative asset manager with approximately $572 billion of assets under management (\"AUM\") and approximately 4,100 employees. We seek to deliver attractive returns across each of our strategies and believe our investment groups are market leaders based on assets under management and investment performance. Our distinct but complementary teams have the ability to invest across a company's capital structure, from senior debt to common equity. The Firm was built upon the fundamental principle that each group benefits from being part of the broader platform. We believe the synergies from this multi-asset strategy provides our professionals with insights into industry trends, access to significant deal flow and the ability to assess relative value.
Since our inception in 1997, we have adhered to a disciplined investment philosophy that focuses on delivering compelling risk-adjusted investment returns throughout market cycles. We believe our growth in becoming one of the largest alternative asset managers is a testament to our experienced management team, our focus on performance and our high-quality investor base, which includes large pension funds, university endowments, sovereign wealth funds, banks and insurance companies.
Roles & ResponsibilitiesAres is currently searching for a highly motivated, diligent teammate to join as a full time Associate in our Ares Insurance Solutions (\"AIS\") Strategy Group. AIS is our dedicated, in-house team that seeks to provide asset management, origination, risk analytics, capital, and M&A services to insurance clients globally. The team currently manages ~$25Bn of AUM across a broadly diversified asset portfolio and is the investment manager, capital solutions provider and corporate development partner to Aspida, a leading U.S. life and annuity insurance and reinsurance company.
The AIS Strategy Group consists of investment professionals working directly with the heads of AIS and leaders across Ares to source, evaluate and implement upon our highest priority growth initiatives. Projects led by this group include management company acquisitions, minority investments, strategic partnerships, global expansion, and business development.
The group seeks to strategically deploy Ares, Aspida, and third-party capital in accretive opportunities that enhance our current capabilities and / or expand our product offerings. The Associate will provide support for the sourcing, evaluation and execution of potential new pivotal initiatives for Ares Management and AIS. Key role responsibilities include:
- Performing detailed financial and market analysis that forms the basis for decisions on investments of the firm
- Preparing complex excel financial models
- Screening new investment opportunities
- Preparing investment committee memos and board presentations
- Analyzing investment performance including maintaining and updating financial models as well as keeping track of relevant current market activities
- Assisting in investment closings and diligence
- Supporting strategic projects for new business development initiatives across the AIS and the firm
- Additional duties include providing direct support as deemed necessary by senior management
- Bachelor's degree in Finance, Accounting, Economics, Mathematics or related field (MBA or CFA a plus)
- 2 - 4 years of relevant investment banking, consulting, or principal investing preferably with focus on asset management / financial services or insurance
- Impeccable integrity and trustworthiness. The AIS Corporate Strategy Group is often required to work with sensitive information and a candidate must be willing and able to handle this information appropriately
- Self-motivated with the ability to set priorities, multitask, and monitor own workload to meet deadlines
- High level of attention to detail
- Strong analytical skills and the ability to work well with limited supervision
- Private equity caliber drive and ability to work effectively in a collegial, fast moving, demanding, and dynamic environment
- Creative problem solver
- Strong interpersonal and communication skills
- Highly proficient in Excel, PowerPoint and Word
The anticipated base salary range for this position is $180,000.00 - $200,000.00. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.
Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.
Purpose
As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.
This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.
You’ll Be Successful With
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
- 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
- Proven track record of moving models from development into production which deliver measurable impact to the business.
- Expert proficiency in Python and SQL. Comfortable with version control.
- Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
- Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
- Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
- You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
- The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
- Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
- Strong intellectual curiosity with a bias toward action and continuous improvement.
- Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.
Your Day Consists Of
- Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
- Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
- Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
- Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
- Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
- Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
- Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
- Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
- Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
- Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
- Be compliant with all appropriate privacy and security protocols.
Working Conditions (travel, hours, environment)
- Limited travel required including air and car travel
- While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.
Physical/Sensory Requirements
Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.
Benefits & Rewards
- Bonus opportunities at every level
- Non-traditional retail hours (we close at 7p!)
- Career advancement opportunities
- Relocation opportunities across the country
- 401k with discretionary company match
- Employee Stock Purchase Plan
- Referral Bonus Program
- 80 hrs. annualized paid vacation (full-time associates)
- 4 paid holidays per year (full-time hourly store associates only)
- 1 paid personal holiday of associate’s choice and Volunteer Time Off program
- Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)
Equal Employment Opportunity
Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.
This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.