Gmi Cloud, AI Jobs in Usa
6,789 positions found — Page 3
A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.
Your role and responsibilities
Currently, we are looking for a Senior Oracle Cloud Financials Solution Architect to join our team. This is a key role playing an integral part in our growing Oracle ERP practice. This is a full‑time position that can sit anywhere in the United States. Must be willing to travel to support clients onsite as needed.
The ideal candidate will have operated in a senior Architect capacity previously, is someone who can anticipate needs and take action to drive deliverables for continued project success. This position needs a leader who will not only architect solutions on implementations but also be part of a senior task force to help the practice grow. This includes maximizing sales opportunities by architecting and acting as the lead in creating Proposals, presenting and implementing Oracle ERP Cloud solutions to potential customers. The individual should be able to play multiple roles, be able to work in a very fast‑paced, enriching environment and is looking for a career rather than just a job.
What You’ll Do:
The Solution Architect is responsible for the overall solution identification and architectural design for assigned projects and initiatives. Key responsibilities of the role are as follows:
- Support client engagements to provide subject matter expertise in Oracle Cloud Financials implementations.
- Assume accountability for the solution design and the successful implementation of the full solution for on Oracle Cloud ERP Projects. May include hands‑on development, design, prototyping and/or other efforts required to keep the project on a successful track.
- Ensure that the proposed solution meets the client’s requirements, is architecturally complete, and all architectural risks are quantified within their assigned area.
- Ensures that the solution aligns with and utilizes the portfolio offerings that result in profitable revenue growth.
- Work with client stakeholders to evaluate the solution requirements and supports the management and traceability of requirements during the engagement
- Review Customer’s current process and the requirement and design customer specific solutions based on industry specific best practices
- Act as a technical interface to the client and assumes a proactive role for developing business opportunities.
- Lead implementation team in the execution of testing cycles including ensuring the completeness in the development of testing scenarios, test cases and test scripts.
- Implements quality solutions that meet the requirements and advises clients on AST offerings, strategy, designs, implementation approaches and alternatives / tradeoffs.
- Work with Project Manager and provide input to the project plan and work breakdown structure and assist in managing timelines and milestones to ensure timely completion of all deliverables
- Identify opportunities for new or follow‑on business and assists in creating change orders.
- Provide thought leadership to the growth of the Practice
- Participate in strategic planning activities and business case development.
- Participate in strategy presentations to clients including features, implementation approach, technical requirements, impacts, and benefits.
- Perform responsibilities including solution proposal management, solution design, solution review, risk analysis, proposal preparation and client presentations.
- Provide technical oversight for technical estimates created with standards tools, portfolio Work Breakdown Structures, statements of work and industry standard estimating techniques.
- Assumes a proactive role for developing business opportunities. Assists in presales cycles by creating architectural demo’s, effort estimates and proposal development.
- Maintains knowledge of technologies, industry trends, standards and design techniques.
Required technical and professional expertise
- 10+ years ERP implementation experience
- Played a Senior Solution Architect role on a minimum of 2 full lifecycle Oracle Cloud implementation projects in the USA
- Public Sector domain (city/state/local/county government) experience considered an asset
- Knowledge and experience in GASB Accounting and Reporting, Encumbrance Accounting, Fund Accounting, Projects and Grants Accounting and Management
- Hands‑on technologist with strong background in designing and building modular, scalable, testable enterprise systems in in Oracle Cloud Financials
- Ideal to have project exposure to other Cloud module areas such as: Supply Chain and HCM Applications
- Ability to work in a fast‑paced environment with a diverse group of people
- Capability to work independently, take initiative with minimal supervision yet can participate as a team member with a willingness to help where needed
- Excellent verbal and written communication skills, including ability to communicate clearly and concisely to all audiences of all levels, spanning from technical peers to executive management
- Organized and detailed oriented
- Ability to fully utilize Microsoft Office (Word, Excel, PowerPoint)
- Ability to adapt to new projects quickly with a can‑do, jump‑right‑in attitude
- Ability to work on multiple projects concurrently
- 4‑year Bachelor degree (or equivalent experience)
IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
#J-18808-Ljbffr
Position Title: Senior Salesforce Engineer- Financial Services Cloud Locations: Rockford_IL Time Type: Full time Req ID: JR1200-Rockford_IL At Midland, we’re proud to be a little different.
You can see it in our bright orange signs-but there’s more to it than that.
With our heartfelt and personalized approach, we’re focused on meeting every customer’s needs with the brightest solutions.
For more than 140 years, we’ve learned by serving customers skillfully with dedication and follow-through, we can brighten every interaction to drive our collective success.
And this goes beyond traditional banking.
We foster programs that empower our communities, continuously invest in our employees, and actively pursue brighter futures for all.
Our humble ambition keeps us growing, giving back, and looking ahead.
We’re innovating and optimizing our services to ensure we stay unique
- providing strength you can count on with heart you can feel.
You might say we’re unlike any other bank.
And you’d be right." At Midland States Bank, base salary is one component of our Total Rewards program.
Exact compensation is determined by factors such as (but not limited to) education, skills, internal equity, and experience.
This position offers additional compensation in the form of short-term incentives (i.e.
bonus and/or commission) and may include long-term incentives (i.e.
stock awards).
Benefits for this role include comprehensive healthcare, well-being benefits, paid family leave as well as generous paid time off.
Total Rewards also include banking perks, an Employee Stock Purchase Plan, 401K plan with company match and may include the opportunity to participate in our Non-Qualified Deferred Compensation plan.
Incentives and benefits are subject to eligibility requirements.
Salary Range: $88,000-$130,000/annually Position Summary This position is responsible for designing, integrating, building, and maintaining Salesforce-based Sales and Financial Services solutions within Midland States Bank.
The role ensures scalable, secure, and compliant solutions using the Salesforce Financial Services Cloud platform, supporting business objectives and optimizing system functionality.
The Senior Solutions Engineer reports to the Team Lead
- Salesforce.
Responsibilities: Design and architect scalable and efficient Salesforce Financial Services Cloud solutions aligned with business needs.
Evaluate and recommend technical solutions, including AppExchange products, to enhance functionality.
Manage Salesforce system administration: custom objects, fields, layouts, validation rules.
Implement automation: workflows, approval processes, and rules to streamline operations.
Ensure data governance: audits, data management, and quality standards adherence.
Design and execute test plans for solution validation.
Lead Salesforce integrations ensuring consistency and information flow across systems.
Collaborate with stakeholders to evaluate integration needs and maintain implementations.
Provide technical mentorship to junior team members and serve as a subject matter expert.
Support automations, workflows, and approvals for Sales Cloud, Service Cloud, and Marketing Cloud.
Share best practices, industry trends, and new features with the team and contribute to the development of internal knowledge resources.
Stay current on Salesforce updates and industry best practices.
Be task-focused and adaptable in a dynamic work environment.
Present ideas clearly and concisely to technical and non-technical audiences.
The role requires occasional travel for training and team meetings, and willingness to travel periodically, to locations within market as needed.
May require work in a Midland office to ensure collaboration and support of internal and external customers.
Maintain compliance with all applicable regulations including, but not limited to, the Bank Secrecy Act (BSA).
Other duties as assigned.
Requirements: Bachelor’s degree in Computer Science, Management Information Systems, Accounting, Finance, or related field.
Minimum 7 years of Salesforce experience, including 3 years with Financial Services Cloud or related financial implementations.
Experience with Salesforce Industries OmniStudio and deployment in banking environments.
Knowledge of sales and marketing methodologies including account/territory/opportunity management, demand generation, and lead nurturing.
Experience with Salesforce tech stack (administration, JavaScript, Lightning Design System, Apex, Visualforce).
Experience with analysis/reporting tools such as Salesforce, SAS BI, MS BI, or Tableau.
Salesforce certifications (e.g., Admin, Advanced Admin, Platform) preferred.
Ability to diagram customer processes and recommend effective changes.
Ability to manage multiple priorities in a dynamic, fast-paced environment.
Strong communication skills (written, verbal, and presentation).
Excellent organizational and time management skills.
or similar CRM proficiency.
Understanding of customer and partner relationship strategies.
Knowledge of the customer journey and ability to map touchpoints to the sales process.
Basic understanding of API and REST.
Basic knowledge of database architecture.
Experience in ITIL or formal SDLC methodologies.
Excellent oral, written, and interpersonal communication skills with the ability to instruct others, interpret documents, and write reports and correspondence.
Ability to deal with complex problems involving multiple facets and variables in non-standardized situations.
Experience with the sales process, cycles and methodology, including: Familiarity with Salesforce Industries OmniStudio Framework.
Experience migrating Salesforce orgs or deploying FSC in a banking or financial institution.
Account/territory management Opportunity management Contact management Business development Professional services Partner management Technical consulting Service engineering Experience with marketing activity, including: Demand generation Lead nurturing Customer profiling Social & digital media Campaign influence tracking Competencies: Business insight Cultivates innovation Drives results Makes sound decisions Being a brand champion Collaborates Communicates effectively Customer focus Being Authentic Emotional Intelligence Self development Being flexible and adaptable At Midland States Bank, we believe that when we can bring our whole selves to work each day, we become happier, more comfortable, more confident and more excited to do great things for our customers, each other and our company.
We’re proud to be an Equal Opportunity and Affirmative Action employer.
At Midland, we recruit, employ, train, compensate and promote without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you are looking for a place to grow, we encourage you to apply at Midland States Bank, because you belong here.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Midland States Bank Human Resources at
Midland States Bank may use automated tools and artificial intelligence (“AI”) to assist with recruiting, screening, and hiring decisions.
In accordance with the Illinois Human Rights Act (effective January 1, 2026), these tools are designed and monitored to be neutral and job-related, and must not be used in a way that discriminates against applicants or employees based on any protected characteristic.
THIS JOB DESCRIPTION DOES NOT CONSTITUTE A CONTRACT FOR EMPLOYMENT Compensation details: 88 Yearly Salary PI400a89af37d1-25448-38959719
At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.
ESSENTIAL DUTIES AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
- Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
- Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
- Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
- Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
- Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
- Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
- Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
- Mentor and upskill existing developers on AI concepts, patterns, and best practices.
Required Skills & Experience
- 5+ year of full stack development experience.
- Strong software engineering background with experience building production-grade applications.
- Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
- Practical experience building RAG pipelines using vector databases and embedding models.
- Experience with prompt engineering, prompt versioning, and evaluation techniques.
- Solid Python experience for AI development.
- Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
- Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
- Understanding of data formats such as JSON, XML, and document-based data.
- Ability to translate business problems into AI-driven technical solutions.
Preferred Qualifications
- Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
- Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
- Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
- Exposure to video or image models and multimodal AI use cases.
- Experience working in enterprise environments with security, compliance, and change management considerations.
- Prior experience mentoring or leading developers in new technical domains.
What We Offer
At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:
Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.
Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.
Time for You: Paid holidays, vacation time, and personal/sick days each year.
Join us and build a career where you're supported - at work and beyond.
Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.
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.
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
Position: Principal AI Engineer
Location: San Francisco CA Hybrid
Contract
Job Summary:
- We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
- The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.
Required Skills & Experience:
- Senior level 12 years of experience building and operating machine learning systems in production.
- Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
- Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
- Ability to lead engineering discussions, guide team members, and provide clear direction.
- Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
- Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.
** We will only consider applicants who are currently residing in South Florida**
About MMG
MMG Equity Partners is a Miami-based, family-led real estate investment and development platform with a portfolio of retail shopping centers across South Florida. Beyond the real estate business, MMG operates a private family office that manages investments, insurance, and financial reporting across multiple entities and family members. MMG separately owns Tamarack Resort in Idaho. We are a flat, fast-moving organization where you will work directly with principals — not layers of management.
This is a ground-floor role. We are building the function from scratch. The right person will define what AI means at MMG, then build it.
The Role
The Director of AI Initiatives & Adoption is responsible for identifying, implementing, and managing AI tools and systems that meaningfully improve how MMG operates across real estate and family office functions. Every project you take on must connect to a business outcome — faster decisions, better data, more deals, reduced overhead.
You will own four things: identifying where AI creates real value at MMG, building or procuring the tools to capture that value, driving adoption across the team and continuously improving how those tools are used, and ensuring the systems are secure and maintainable. Implementation without adoption is not success.
- Reports to Managing Director
- Direct reports - contractors and freelancers as needed
- Current IT Enviroment - outsourced IT for network support
Current Tech Stack (what you are walking into)
You need to understand these systems deeply. Part of your job is figuring out how to connect them and leverage AI to make us more productive/competitive
What you will work on
Below are four areas where we believe AI creates the nearest near-term value at MMG. You first job is to work with the leaders in each area to assess each, prioritize, and build a 6-month roadmap. In addition to the below, the right individual will identify a myriad of other AI use cases to add value and reduce repetitive tasks.
- Leasing and Tenant Prospecting
MMG owns retail shopping centers and is responsible for filling vacancies with the right tenants – while we work with third party leasing firms, we wish to supplement their efforts by generating direct leads.
- Design and build AI scraping tools to compile databases of South Florida retailers and service businesses for targeted uses
- Build a tool to identify prospective uses/tenants: given a vacancy (size, location, co-tenancy, demographics), which business types and specific operators are the best candidates?
- Design and build AI-assisted leasing outreach workflow: targeted uses identified for vacancies → database queried → outreach drafted and sent → responses tracked in Dynamics (or other CRM)
- Activate Microsoft Dynamics (or other) as the CRM for online leasing
- Identify tools or workflows to monitor existing tenant health (sales reporting, foot traffic, business review signals) to get ahead of vacancies before they happen
- Identify and implement AI-assisted lease abstracting tool to best fit our environment
2. Real Estate Acquisitions
MMG evaluates potential acquisitions across South Florida. Today this process is manual and dependent on individual knowledge. AI can accelerate every stage.
- Design and build AI scraping tools to compile databases of South Florida real estate owners
- Build an AI-assisted underwriting workflow that pulls property data, comps, and market context into a structured analysis template
- Identify AI tools for market intelligence — rent growth trends, cap rate movements, retail category performance by submarket
- Evaluate AI-powered deal sourcing tools (e.g. CoStar integrations, off-market sourcing platforms
3. Private Family Office
MMG's family office manages investments, insurance, and financial reporting for family members. This is a sensitive area requiring strict data governance — but it also has high-value AI applications.
- Addepar AI integration: explore ways to use AI to generate plain-language investment performance summaries and financial reports from Addepar data, reducing manual reporting time
- Insurance management: build a structured database or AI assistant for tracking insurance policies (G/L, personal property, family member policies) with renewal alerts and coverage gap analysis
- Document intelligence: connect family office files in SharePoint to an AI interface for on-demand retrieval of partnership agreements, tax documents, and legal filings
- Evaluate data governance and access controls for family office data — this is sensitive personal and financial information; AI access must be role-based and audited
IT Infrastructure and Security
You are not a network administrator — we have an outsourced IT firm for that. But you are responsible for AI governance at MMG: ensuring every AI tool introduced into the environment meets a clear security and accountability standard. Practically, this means:
- Evaluating AI vendors for data handling practices — what data leaves our environment, where it is stored, and how it is used for model training
- Defining and enforcing a data classification policy: what information can be sent to external AI APIs, what must stay on-premise or in private cloud environments
- Working with IT firm to ensure AI tools are deployed within the MS365/Azure security perimeter where possible
- Evaluating the Claude Teams → Claude Enterprise migration and the Microsoft Connector configuration for SharePoint access — specifically, controlling which documents are accessible to AI and by which users
- Vetting any third-party AI integrations (i.e. ZoomInfo, Yardi, etc.) for compliance with firm data policies
Prompt Library & AI Adoption
Building the tools is only half the job. The other half is making sure the team actually uses them — and uses them well. This requires two ongoing responsibilities that most AI roles underestimate.
Prompt Library
You will build and maintain a living prompt library — a curated set of tested, optimized prompts for every recurring AI task at MMG. Examples include: underwriting analysis from a rent roll, lease abstraction for a specific clause type, tenant outreach drafts by use category, and insurance renewal gap analysis. The library lives in SharePoint, is accessible to the full team, and is updated continuously based on user feedback and evolving business needs. A well-maintained prompt library is what turns AI from a tool that one person uses well into a capability that the whole organization depends on.
Adoption Monitoring & Continuous Improvement
You are responsible for whether AI tools actually get used — not just whether they get deployed. This means tracking adoption across the team, identifying where workflows are not sticking, providing training and troubleshooting support to staff using AI tools, and iterating on both the tools and the prompts based on real usage patterns. You will serve as the primary internal resource for the team when they hit limitations or need guidance on how to get better outputs. Deployment without adoption is a sunk cost.
What we are looking for
Required:
- 3–6 years of experience in data, technology, or AI — ideally in a context where you had to figure things out without a large team around you
- Hands-on experience with AI tools and LLM platforms — not just using them, but building workflows, prompts, and integrations on top of them
- Demonstrated ability to connect AI capabilities to specific business outcomes (not just technology for its own sake)
- Comfort with the Microsoft 365 ecosystem — SharePoint, Dynamics, Teams, Azure
- Ability to manage and direct contractors and developers without being the one writing all the code
- Non-technical stakeholder communication — you will regularly present AI recommendations, tool evaluations, and implementation roadmaps directly to the principal(s) who are real estate operators, not technologists. The ability to translate AI capabilities into business outcomes (not feature lists) is non-negotiable. If you cannot explain why a tool matters in terms of time saved, deals sourced, or risk avoided, you will not be effective in this role
- In-office presence at Pinecrest HQ is required initially (possible hybrid in the future)
Preferred
- Experience in commercial real estate, property management, or a related field
- Familiarity with Yardi, Addepar, or similar platforms
- Background that includes both technical work (building things) and strategic work (recommending what to build)
- Experience implementing AI in a small-team / resource-constrained environment
Applied AI Engineer
Compensation:
- Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)
Location:
- Hybrid / Onsite - Greater Kansas City Metro Area
- 3 days per week onsite, 2 days remote
- Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
- Fully remote candidates cannot be considered
Work Authorization:
- Must be authorized to work in the U.S.
- No current or future visa sponsorship available
Engagement Type:
- Full time, direct hire only
- No third-party agencies, consulting firms, C2C, or 1099 arrangements
About the Opportunity
Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.
The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.
The Role
As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.
This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)
Key Responsibilities
- Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
- Develop and deliver intelligent features within a proprietary SaaS platform.
- Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
- Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
- Build and maintain backend systems and APIs that support AI functionality across products and services.
- Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
- Implement fallback strategies, model routing, and cost performance optimization.
- Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
- Apply best practices related to data privacy, security, compliance, and responsible AI use.
- Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.
Qualifications
- 6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
- Proven experience applying LLMs or similar AI models to real business or product challenges.
- Strong backend engineering skills (Python and/or TypeScript preferred).
- Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
- Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Front end development experience in areas like React, Node.js, Web Development, front end web product design
- Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
- Knowledge of data privacy, security, and ethical AI considerations.
- Experience supporting SaaS platforms or technology driven products is a plus.
- Strong communication skills and the ability to collaborate across technical and non-technical teams.
- Passion for applying AI in practical, high impact ways.
Why This Role
- High visibility and ownership of AI initiatives
- Opportunity to build AI systems that directly impact business outcomes
- Emphasis on production grade systems, not experimentation alone
- Collaborative, hybrid environment with close access to stakeholders
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
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.
Senior Applied AI Scientist
Fully Remote - HQ in New York, New York
$190,000-210,000 base salary + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
- You will report directly to senior leadership and work closely on technical direction
- Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
- You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Senior Applied AI Scientist will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
- Experience working in a scaling startup is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Cloud experience in AWS, Azure or GCP
- DevOps exposure with CI/CD pipelines preferred
- History of working on models from concept to production / end-to-end / 0-1
- Applied research background in a commercial setting required
- Publication and/or patent history highly preferred
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- History of partnering with non-technical stakeholders required
- Experience owning projects
- PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal