Role Overview & Business ImpactAs 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.
Key ResponsibilitiesAI Integration & Solution Engineering- 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
Automation & Intelligent Workflows- 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
Governance, Responsible AI, and Risk Management- 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
Security, Privacy, and Compliance by Design- 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
Scalability, Performance, and Enterprise ALM- 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
Stakeholder Partnership & Technical Leadership- 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
Required Technical Skills & Experience- 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
Preferred Qualifications- 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
Soft Skills & Collaboration Expectations- Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences
- Strong stakeholder partnership skills, balancing innovation with compliance, security, and operational readiness
- Hands-on mindset with a focus on delivering production-ready outcomes, not just prototypes
- Collaborative leader who mentors peers, supports citizen developers, and raises overall engineering maturity
- Pragmatic, business-focused approach with an emphasis on measurable impact and user experience
What Success Looks Like- AI-powered Power Platform solutions delivered to production with measurable business impact
- Reusable AI integration patterns adopted across teams
- Strong governance and security controls that enable safe, scalable innovation
- Reduced operational risk through automation, monitoring, and well-defined standards
Role OverviewWe are seeking an
AI Engineer with strong experience integrating
AI and ML capabilities into the Microsoft Power Platform. This role focuses on building
secure, scalable, and governed AI-powered solutions using Power Apps, Power Automate, Power BI, and Copilot Studio, leveraging
Azure AI and OpenAI services.
You will help drive business transformation by embedding AI into workflows, decisioning, and user experiences while ensuring solutions meet enterprise standards for
security, compliance, and scalability. The role requires a mix of
hands-on engineering, architectural thinking, and cross-team collaboration.
Key Responsibilities- 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
Required Technical Skills- 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
Preferred Qualifications- 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
Soft Skills & Collaboration- Clear communicator who can explain AI concepts to technical and non-technical audiences
- Pragmatic problem solver focused on production-ready solutions
- Collaborative team member who balances innovation with governance and risk
- Comfortable working across engineering, security, and business teams
What Success Looks Like- AI-enabled Power Platform solutions successfully deployed to production
- Reusable AI integration patterns adopted across teams
- Secure, compliant, and maintainable AI solutions that deliver measurable business value
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$79,310.00 - $158,620.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/18/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
