AI Engineer

Role Description

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.

Key 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.

Qualifications

• 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.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The 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.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.