AI Engineer - Microsoft Power Platform

CVS Health • Work At Home-Connecticut, CT

5d • $79,310 - $158,620

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Role Overview & Business Impact As a Senior AI Engineer – Microsoft Power Platform, you will lead the design and delivery of enterprise-grade AI experiences embedded directly into Power Apps, Power Automate, Power BI, and Copilot Studio. You will accelerate business outcomes by integrating Azure AI and OpenAI capabilities into workflow automation, decision support, customer/member/patient experiences, and operational intelligence—while ensuring solutions meet strict security, compliance, governance, and scalability requirements. You will partner closely with product, architecture, security, and business stakeholders to move AI from experimentation to production-ready, governed, and measurable solutions. This is a senior, hands-on role for someone who can both build and influence, shaping reusable patterns, platform standards, and best practices that enable safe AI adoption at scale.

Requirements

• 8+ years of experience in software engineering, platform engineering, or applied AI roles, with 3+ years delivering enterprise solutions on Microsoft Power Platform
• Strong hands-on experience with Power Apps (Canvas and/or Model-driven), Power Automate, Dataverse, and Copilot Studio
• Deep expertise integrating AI services, including Azure OpenAI/OpenAI APIs, prompt engineering, function calling, and safety controls
• Strong understanding of RAG architectures, embeddings, vector search concepts, and AI evaluation techniques
• Experience building and securing APIs and integrations using REST, OAuth2, Microsoft Graph, custom connectors, and Azure API Management
• Solid data engineering fundamentals, including working with Dataverse, SQL, SharePoint, data lakes, and enterprise data systems
• Proven experience with Entra ID/Azure AD, RBAC, data loss prevention policies, and enterprise security controls
• Proficiency in at least one general-purpose programming language such as C#, Python, or JavaScript/TypeScript
• Experience with CI/CD, automated testing, monitoring, and performance tuning
• Strong experience in software, platform, or AI engineering
• Hands-on experience with Power Apps, Power Automate, Dataverse, and Copilot Studio
• Proven experience integrating Azure OpenAI / OpenAI APIs and working with prompt engineering
• Familiarity with AI patterns such as embeddings, RAG, and model evaluation concepts
• Solid API and integration skills (REST, OAuth2, Microsoft Graph, custom connectors)
• Working knowledge of Azure security, Entra ID, RBAC, and DLP policies
• Proficiency in C#, Python, or JavaScript/TypeScript
• Experience with CI/CD, monitoring, and performance optimization

Nice To Haves

• Experience delivering AI solutions in regulated or highly governed industries such as healthcare, insurance, finance, or government
• Strong familiarity with the Microsoft 365 ecosystem, including SharePoint, Teams, Outlook, Microsoft Graph, Purview, and information protection
• Experience defining and operating Power Platform governance at scale, including Center of Excellence practices
• Working knowledge of Responsible AI frameworks, risk assessments, and red-teaming exercises
• Relevant Microsoft certifications in Power Platform, Azure, or AI are a plus
• Experience working in enterprise or regulated environments (e.g., healthcare, insurance, finance)
• Familiarity with the Microsoft 365 ecosystem (SharePoint, Teams, Outlook, Graph)
• Exposure to Power Platform governance or Center of Excellence practices
• Knowledge of Responsible AI, compliance, and data privacy considerations
• Microsoft Power Platform, Azure, or AI certifications

Responsibilities

• Design, build, and deploy AI-powered solutions using Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) with Azure AI services and Azure OpenAI/OpenAI APIs
• Implement advanced AI patterns including retrieval-augmented generation (RAG), summarization, classification, entity extraction, conversational copilots, and document intelligence
• Develop reusable components such as connectors, APIs, templates, shared prompt libraries, and solution accelerators to enable consistent enterprise adoption
• Build and optimize intelligent workflows using Power Automate, including approvals, exception handling, and human-in-the-loop processing
• Integrate enterprise systems via standard and custom connectors, API Management, and secure REST APIs
• Implement monitoring, logging, and alerting for AI-enabled workflows to ensure operational reliability
• Define and enforce governance standards for AI usage within Power Platform, including environment strategy, DLP policies, connector controls, and access management
• Establish prompt governance practices such as versioning, review, safety controls, and lifecycle management
• Ensure alignment with Responsible AI principles, regulatory requirements, and organizational risk posture
• Design solutions using secure engineering principles including identity management (Entra ID/Azure AD), RBAC, least privilege access, and secrets management
• Ensure data privacy, retention, and auditability across AI solutions, especially when handling sensitive or regulated data
• Partner with security and compliance teams to evaluate and remediate risks throughout the solution lifecycle
• Implement enterprise application lifecycle management using solutions, CI/CD pipelines, automated testing, and controlled deployments
• Optimize AI usage for performance, scalability, and cost efficiency, including concurrency controls and usage monitoring
• Support multi-environment strategies (Dev/Test/Prod) and managed solutions for long-term maintainability
• Translate business problems into technical designs and AI-enabled roadmaps with clear success metrics
• Provide architectural guidance, technical mentorship, code reviews, and best practices to development and maker communities
• Lead proof-of-concept initiatives and industrialize successful solutions for enterprise-wide adoption
• Design and deliver AI-enabled solutions using Power Platform integrated with Azure AI / OpenAI
• Build intelligent automations and copilots using Power Automate and Copilot Studio
• Implement AI patterns such as summarization, classification, document intelligence, and retrieval‑augmented generation (RAG)
• Integrate with enterprise systems using REST APIs, custom connectors, and API Management
• Apply governance standards including DLP policies, access management, prompt controls, and Responsible AI practices
• Ensure solutions are secure, compliant, performant, and scalable
• Follow enterprise ALM practices including solutions, CI/CD pipelines, and multi‑environment deployments
• Collaborate with product, architecture, security, and business stakeholders to deliver measurable outcomes
• Contribute to reusable patterns, standards, and technical documentation

Benefits

• medical, dental, and vision coverage
• paid time off
• retirement savings options
• wellness programs
• other resources, based on eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed