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Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge

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.

GENERAL SUMMARY:

The Manager of AI Enablement (Senior) leads the development and execution of Element Care’s internal approach to artificial intelligence. This role defines AI standards, policies, and best practices while enabling staff across the organization to adopt AI safely, ethically, and effectively. Reporting to the IT department, this position acts as a trusted advisor to leaders and end users, shaping AI governance, vendor strategy, training, and enterprise enablement.

ESSENTIAL RESPONSIBILITIES:

•    Define and maintain organizational AI standards, policies, and governance frameworks.

•    Lead the deployment of off-the-shelf AI solutions, including ambient documentation, predictive analytics, administrative automation, and clinical decision support tools.

•    Enable responsible use of generative AI across administrative and operational functions.

•    Conduct continuous workflow analysis to identify automation and AI-enablement opportunities.

•    Evaluate AI and AI/ML models, tools, and vendor solutions for suitability, risk, and value.

•    Partner with IT, data, analytics, and platform teams to align AI initiatives with enterprise architecture.

•    Provide oversight and guidance on AI-enabled workflows, automation, and agent capabilities.

•    Measure, monitor, and report on AI initiative outcomes, value realization, and performance.

•    Build business cases and recommendations for future AI investments.

•    Serve as the primary advisor to leaders and teams on AI use cases, risks, and governance.

•    Monitor regulatory, ethical, and industry developments related to AI.

•    Help establish and mature a scalable AI enablement and governance operating model.

•    Influence adoption and consistency without direct authority.

•    Perform other duties as assigned.

JOB SPECIFICATION:

•    6–10+ years of relevant professional experience, including applied AI, automation, analytics, or emerging technology leadership.

•    Demonstrated experience evaluating AI/ML models, vendor solutions, or AI platforms.

•    Experience with vendor management, solution selection, or hands-on implementation required.

•    Demonstrated experience defining standards, policies, or enterprise enablement programs.

•    Healthcare or other regulated industry experience strongly preferred.

•    Strong understanding of applied AI, AI/ML evaluation, governance, risk, and ethical considerations.

•    Ability to translate complex concepts into practical organizational guidance.

•    Experience developing business cases and value narratives for technology investments.

•    Executive-level communication and facilitation skills.

•    Proven ability to operate independently and influence across the enterprise.

•    Strategic mindset with a pragmatic, implementation-oriented approach.

Compensation details: 13 Yearly Salary

PI71b2d5685c13-3631

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

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.

Overview

Whistler Partners is partnering with a nationally recognized technology transactions practice seeking a mid-to-senior level associate (4–8 years) to join its Washington, DC office.

This team operates at the forefront of emerging technologies, advising clients across fintech, financial services, artificial intelligence, cloud services, outsourcing, digital assets, and advertising. The practice sits at the intersection of IP, data strategy, product counseling, and complex commercial contracting in a rapidly evolving regulatory environment.

Why this role?

This is a rare opportunity to build a cutting-edge tech transactions practice focused on AI systems, fintech infrastructure, and data commercialization. The team handles sophisticated, strategic transactions—not just routine commercial agreements—and serves as trusted advisors to innovative companies navigating complex technological and regulatory shifts.

You’ll work on high-value licensing, outsourcing, and product counseling matters while staying close to regulatory developments in AI, open banking, and digital assets. This seat is ideal for someone who enjoys blending deep contractual work with forward-looking technology strategy.

Key Responsibilities

• Structure, draft, and negotiate strategic technology transactions involving fintech, AI systems, cloud services, and software platforms.
• Draft and negotiate vendor, supplier, and outsourcing agreements.
• Advise clients on intellectual property and regulatory issues relating to data, open banking, AI model development, and content use.
• Draft and negotiate agreements involving software licensing, commercialization, technology development, and IP rights.
• Provide product counseling and guidance on advertising, marketing, and promotional law for innovative tech launches.
• Negotiate AI system licenses and content licenses for AI model training.
• Monitor emerging regulatory frameworks impacting AI, fintech, payments, and advanced technologies.

Top Requirements

• 4–8 years of experience in technology transactions, licensing, fintech, IP, or outsourcing.
• Strong understanding of commercialization of advanced technologies, including payments, AI, cloud computing, and software.
• Experience negotiating complex IP, data access, and licensing arrangements.
• Background advising fintech, financial institutions, or digital asset clients.
• Exceptional drafting, negotiation, and communication skills.
• Ability to manage multiple sophisticated matters in a collaborative, fast-paced environment.
• JD and admission to practice in the relevant jurisdiction.

Preferred Experience

• Experience negotiating AI system and AI training content licenses.
• Familiarity with advertising and marketing law as applied to technology companies.
• Experience advising on IP aspects of M&A and related transactions.
• Exposure to fintech, payments, cloud services, AI, government contracts, outsourcing, or digital asset clients.

Compensation

• $225,000 – $330,000 base salary, depending on experience.
• Comprehensive benefits including medical, dental, life insurance, paid holidays, sick time, long-term disability, and 401(k).

TL;DR

Mid–senior tech transactions role in DC focused on AI systems, fintech, cloud, and advanced data deals. High-end licensing and commercialization work with strong regulatory adjacency. $225K–$330K base.

About Whistler Partners

Matchmakers, Not Headhunters

Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.

We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.

Sr. Quality Automation and AI CSV Engineer

The Senior Automation and AI CSV Engineer will lead the design, implementation, and validation of automated systems and AI-driven solutions within a sterile injectable pharmaceutical manufacturing environment. This role ensures compliance with regulatory requirements (FDA, EMA, ICH) and company standards for computerized systems, automation platforms, and AI-enabled technologies used in production, quality control, and data analytics.

Essential Duties & Responsibilities

• Automation & AI Validation:
• Develop and execute validation strategies for automated systems, robotics, and AI-based tools in compliance with GAMP 5, 21 CFR Part 11, FDA’s CSA for Production and Quality System Software, Annex 11, Annex 22, and PIC/S.
• Perform risk assessments and ensure data integrity for AI-driven decision-making systems.
• Author and review validation documentation (URS, FS, DS, IQ/OQ/PQ protocols, reports).
• System Lifecycle Management:
• Oversee system implementation, upgrades, and change control for automation and AI platforms.
• Collaborate with IT, Engineering, and Quality teams to maintain validated state of systems.
• Regulatory Compliance:
• Ensure adherence to cGMP, FDA, EMA, and global regulatory guidelines for sterile injectable manufacturing.
• Support audits and inspections by providing validation evidence and technical expertise.
• Innovation & Continuous Improvement:
• Identify opportunities to integrate AI and advanced analytics for process optimization and predictive maintenance.
• Drive digital transformation initiatives.
• Quality Oversight & Approval:
• Provide independent quality oversight for automation and AI validation activities.
• Review and approve validation protocols, reports, and change control documentation to ensure compliance and data integrity.
• Act as a quality representative during system implementation and qualification phases.
• Adhere to company and departmental timelines with high accuracy and quality.
• Maintain an atmosphere of teamwork, cordiality, and respect towards co-workers.
• Performs other duties as assigned.

Core Values

This position is expected to operate within the framework of our Core Values:

• Center on People: We commit to support the well-being of our patients. We are committed to treating our employees and those we serve as valued partners. By placing people at the heart of our actions, we actively engage, invigorate, acquire knowledge, and grow together.
• Are Proactive & Agile: We embody a culture of engagement and action. With a hands-on approach, we fearlessly adapt to change. We anticipate, respond swiftly and efficiently to ignite a spirit that propels us towards extraordinary outcomes.
• Act Ethically: We are committed to consistently conducting our business in an ethical, compliant, and socially aware manner, in line with our purpose of positively impacting lives. We actively cultivate diversity, equity, inclusion & sustainability in our workplace.
• Constantly Improve: We are committed to a collaborative & proactive effort to improve our products, systems, processes, and services by reducing waste, increasing efficiency & improving quality.
• Are Accountable: We think, act, and communicate with honesty, transparency, and clarity in alignment with our core values. We don't compromise our values for near term gain. We take accountability & ownership of our work, actions, successes, and setbacks. We strive to deliver our best as we shape the future.

Knowledge, Skills & Abilities

• Excellent organizational and project management skills.
• Excellent oral and written communication skills.
• Ability to work independently with minimal supervision and as part of a cross-functional team.
• Advanced knowledge of Automation and CSV/CSA principles, industry guidance, regulatory requirements, cGMP practices, and ICH guidelines.
• Strong project management and cross-functional leadership skills.
• Ability to author strong technical reports free of errors.
• Advanced knowledge with Microsoft Office Suite, and various GMPS systems such as Veeva eQMS, Maximo CMMS, BMS, LIMS, CDS, and ERPs.
• Familiarity with SCADA, PLC, MES, and AI platforms from simple context analysis tools to large language modeling, prompt engineering and the role of human interaction for process engineering and establishment of trustworthy data.
• Advanced troubleshooting and problem-solving skills.
• Ability to manage multiple projects concurrently and under tight time constraints.

Education & Experience

• Bachelor’s degree in Engineering, Computer Science, Pharmaceutical Sciences, or related field required
• Master’s degree in Engineering, Computer Science, Pharmaceutical Sciences, or related field preferred
• Minimum of 8 years’ experience in pharmaceutical automation and computerized system validation.
• Strong knowledge of sterile injectable manufacturing processes and aseptic techniques.
• Hands-on experience with AI/ML applications in manufacturing or quality systems preferred.
• Expertise in GAMP 5, 21 CFR Part 11, Annex 11 and knowledge of Annex 22 compliance.
• Proficiency in risk-based validation and data integrity principles.

Working Conditions

• Working conditions include general office environment.
• Business demands may require working extended hours.

Join Our Mission to Bridge the Digital Divide - Through AI!

Position: Programs Manager (AI Curriculum - Higher Ed) - Austin, Texas (Hybrid or Remote)

Salary Range: USD 55,000 - 75,000 annually (with a 3-month probation)

Location: Preference for Austin, Texas; remote possible

Travel: Occasional travel required with reasonable notice and accommodations

About Us

Sustainable Living Lab USA (SLL LLC USA) is part of a global movement, HQ in Singapore, offices in India, Indonesia, Japan, and the USA, to make technology inclusive, accessible, and sustainable. We design and deliver innovative education programs that equip learners with essential digital and AI skills - from US community colleges to grassroots organizations worldwide.

About the Role

We’re seeking a dynamic, articulate, and adaptable Programs Manager (AI Curriculum for HigherEd)to support the global expansion and US localization of our AI education programs.

This role involves delivery, curriculum creation, and program development, ideal for someone confident in discussing AI with non-technical audiences, passionate about learning, and eager to influence AI upskilling’s future. You’ll lead technical Train-the-Trainer (TTT) sessions with professors from community colleges and universities both virtually and in-person helping them develop/integrate technical AI concepts as part of their certifications/degrees.

This role blends delivery, curriculum design, and program development, ideal for a flexible, self-motivated individual with a growth mindset who thrives in ambiguous environments, constantly finding solutions to new problems.

Key Responsibilities

1. AI Programs Training & Facilitation (TTT Model)

• Lead virtual and in-person technical Train-the-Trainer (TTT) workshops across US, supporting partners in vocational education and workforce institutions worldwide.
• Ensure participants understand the content and are equipped to customize it for local contexts and learner needs.
• Develop and implement standardized training regimens and SOPs tailored for cross-cultural, regional, and state-wide implementation partners.
• Translate core AI, ML, DL, and Python concepts into engaging, beginner-friendly lessons sensitive to language diversity and digital fluency levels - but also able to deliver technical concepts like Maths for AI, Data science, and Agentic AI topics in depth.
• Conduct engaging and informative training sessions utilizing a standardized curriculum.

2. US Programme & Business Development (SMEs, Colleges, Universities, K12, communities)

• Manage the continuity and expansion of SLL's US programs, particularly within its extensive network of 140+ community colleges and universities spanning 40+ states.
• Work with the team to position SL2 as a leading partner in AI and emerging tech education for the US community college and vocational sector.
• Scale educational programs with school districts, community colleges, and universities, focusing on out-of-school programs and boot camps.
• Scale AI Community Engagements with clubs, societies, and foundations.
• Identify and articulate compelling use-case stories for workforce development partnerships.
• Support engagements with colleges, government agencies, and employers to co-develop bespoke AI education pathways.

3. Content Development and Productization

• Collaborate with internal teams to evolve and update existing programs and co-create new offerings.
• Lead the creation of slide decks, training decks, and other content as a core part of the role.
• Contribute to productizing key experiential learning offerings such as hands-on coding challenges and platform-based simulated work experiences.
• Help localize material for US-based institutions, aligning with skills frameworks and employer demand.
• Co-deliver experiential coding/skilling events, ensuring the core product is designed for global scalability and is adaptable to various educational levels, including tailoring project focus for different competitions for community college and university students.

What We're Looking For

• HigherEd/SME Training Experience: Minimum of 3 years in Higher Ed, training, or facilitation working with HigherEd/SMEs, including at least 2 years focused on technical or digital skills. Experience working across cultures and time zones is highly valued.
• Tech & Learning Aptitude: Intermediate to high knowledge of Python and AI/ML/DL/Agentic AI/Maths for AI/Data concepts. Strong personal interest in the evolving AI landscape and comfort with explaining complex topics to beginners. Experience or enthusiasm for Vibe Coding, digital hackathons, or collaborative prototyping is a plus.
• Communication & Facilitation: Fluent, clear-spoken English and strong public speaking skills. Able to adjust tone, pace, and clarity based on audience (e.g., teachers vs. college professors vs. workforce leaders). A strong presence on MS Teams/Zoom or in person - whether running a classroom session, hackathon, or partner presentation.
• Mindset & Tools: Adaptable, self-motivated, and collaborative. Skilled in using tools like Zoom, Google Workspace, and Teams, and eager to learn new platforms and facilitation techniques.
• Location & Eligibility: Preference for candidates based in Austin, TX, but open to strong remote applicants. Must be authorized to work in the US.

Why Join Us?

• Make Global Impact: Empower teachers and workforce educators across continents to teach AI confidently and contextually.
• Shape the Future of the US Workforce Skilling: Co-create impactful AI programmes for colleges and workforce partners across the US.
• Creative & Collaborative Culture: Work with a mission-driven team that values experimentation, equity, and lifelong learning.
• Featured Benefits: Medical insurance (100% employer contribution), 14 days annual leave, 14 days medical leave, and paternity and maternity leave. We request that the candidate to have their own device.

Ready to Apply?

Send your resume and a short, authentic cover letter to with the subject line: “Programs Manager (AI Curriculum) - U.S.” Please write authentically, and use AI tools with discernment.

Please include:

• Your expected monthly salary in USD
• Your current location and time zone
• Your availability to start
• Any accommodation requests (if applicable)

SLL LLC USA is an Equal Opportunity Employer. We celebrate diversity and are committed to building an inclusive workplace. If you need accommodations during the application process, please let us know.

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas,Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.

The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.

The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.

As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including:

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• Leading the design and delivery of system architecture solutions in collaboration with technical teams.

  
  

• Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.

  
  

• Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.

  
  

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• Proven ability to manage and deliver complex solutions.

  
  

• Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.

  
  

• Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.

  
  

• Managing expectations of client service delivery.

  
  

• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.

  
  

• Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.

  
  

• Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications

  
  

• Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies

  
  

• Leading the design and implementation of an extensible common information model for the FDL Blueprint

  
  

• Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps

  
  

• Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security

  
  

• Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL

  
  

• Supporting the establishment and maintenance of a robust data governance framework for the FDL

  
  

• Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications

  
  

• Ability to travel as required for client engagements and project needs.

  
  

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• Bachelor\'s degree in Finance, Accounting, Business, Computer Science

  
  

• Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:

  
  

• Strategic financial planning, budgeting, and forecasting processes

  
  

• Financial modeling and scenario analysis

  
  

• Variance analysis and management reporting

  
  

• Cross-functional collaboration with business stakeholders

  
  

• Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:

  
  

• Anaplan (Certified Model Builder preferred)

  
  

• Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)

  
  

• Oracle Hyperion

  
  

• OneStream, Tagetik, or similar platforms

  
  

• Solid understanding of financial data architecture and governance, including:

  
  

• Financial data modeling and dimensional design

  
  

• Chart of accounts structuring and hierarchy management

  
  

• Data quality standards and reconciliation processes

  
  

• Master data management for finance applications

  
  

• Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow)

  
  

• Excellent communication, collaboration, and problem-solving skills

  
  

• Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies

  
  

• Strong business skills including relationship management, commercial awareness, and communication.

  
  

• Strong analytical and problem solving skills as well as excellent oral and written communication skills

  
  

• A willingness to travel to meet client needs.

  
  

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• Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred

  
  

• A strong ability to adapt to changing technology landscapes and stay ahead of industry trends.

  
  

• Exceptional interpersonal skills to foster team collaboration and client trust.

  
  

• A proactive approach to problem-solving and decision-making.

  
  

• Experience in leading diverse teams in dynamic environments.

  
  

We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

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• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $171,600 to $392,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $205,900 to $445,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  
  

• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

  
  

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

  
  

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

UiPath Developer – Agentic AI & Maestro

About WonderBotz

WonderBotz is a global leader in intelligent automation, delivering innovative RPA and AI solutions that help organizations scale efficiently, reduce costs, and unlock new opportunities. Our team blends technical expertise with business insight to ensure clients achieve measurable success.

Role Overview

We are seeking a UiPath Developer with hands-on experience in Agentic AI and Maestro orchestration. You will design, build, and optimize automation solutions that integrate advanced AI capabilities, ensuring seamless execution across enterprise-scale environments. This role requires strong technical skills, creativity in solution design, and the ability to collaborate with cross-functional teams.

Key Responsibilities

• Develop, configure, and deploy automation workflows using UiPath Studio and Orchestrator.
• Integrate Agentic AI capabilities into RPA solutions to enable intelligent decision-making.
• Utilize Maestro for orchestration, monitoring, and scaling of automation programs.
• Collaborate with business SMEs to gather requirements and translate them into technical designs.
• Build and maintain reusable components, libraries, and frameworks for automation.
• Conduct testing, debugging, and performance tuning of automation solutions.
• Document processes, technical specifications, and best practices.
• Provide support for production deployments and ongoing maintenance.

Qualifications

• 3–5 years of hands-on UiPath development experience (Studio, Orchestrator, Robots).
• Proven expertise with Agentic AI integration in automation workflows.
• Experience with Maestro for orchestration and enterprise automation management.
• Strong understanding of RPA lifecycle (design, development, testing, deployment, support).
• Familiarity with programming languages (VB.Net, C#, Python, SQL) is a plus.
• Knowledge of AI/ML concepts, NLP, and intelligent document processing preferred.
• UiPath certifications (Developer, Advanced RPA Developer) highly desirable.

Desired Characteristics

• Strong problem-solving and analytical skills.
• Excellent communication skills for technical and non-technical stakeholders.
• Ability to work independently and in collaborative team environments.
• Detail-oriented with a focus on quality and scalability.
• Passion for innovation and continuous learning in automation and AI.

Python AI Engineer (Prompt & Agentic Systems)

Location: Hybrid –Atlanta, GA (3 days a week onsite)

Client: Retail client

About the Role

We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.

Key Responsibilities

• Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
• Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
• Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
• RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
• Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
• API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
• MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
• Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
• Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.

Required Qualifications

• Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
• Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
• Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
• Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
• Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
• Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
• Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
• Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).

Nice to Have

• Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
• Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
• Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
• Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
• Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
• Front-end basics for AI UX (React/Next.js) or chat UI patterns.
• Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.