AI Engineer - Microsoft Power Platform

CVS HealthWork At Home-Connecticut, CT
$79,310 - $158,620Onsite

About The Position

We are looking for an AI Engineer to build intelligent solutions on the Microsoft Power Platform by integrating large language models (LLMs), including Azure OpenAI and Anthropic Claude. This role focuses on enabling business scenarios through scalable, secure, and compliant applications aligned with enterprise standards. You will collaborate across engineering, product, and security teams to deliver high-quality solutions that drive productivity and business impact.

Requirements

  • 2–3 years of experience in AI, software engineering, or Power Platform development
  • Experience with Power Apps, Power Automate, Dataverse, and Copilot Studio
  • Experience integrating LLMs via APIs (e.g., Azure OpenAI, Claude)
  • Knowledge of prompt engineering and AI design patterns (embeddings, RAG)
  • Proficiency in REST APIs, OAuth2, and Microsoft Graph
  • Understanding of Azure identity and security (Entra ID, RBAC, Key Vault, DLP)
  • Programming experience in C#, Python, or JavaScript/TypeScript
  • Experience with CI/CD, monitoring, and performance optimization

Nice To Haves

  • Experience in enterprise or regulated environments
  • Familiarity with Microsoft 365 services
  • Knowledge of Power Platform governance practices
  • Understanding of Responsible AI principles
  • Relevant Microsoft or AI certifications
  • Strong collaboration and communication skills

Responsibilities

  • Design and implement solutions on the Power Platform integrated with Azure AI services
  • Integrate LLM capabilities into applications using APIs, connectors, and secure service architectures
  • Build AI-powered workflows and copilots using Power Automate and Copilot Studio
  • Apply AI patterns such as summarization, classification, and retrieval-augmented generation (RAG)
  • Develop and refine prompt strategies with appropriate governance and safety controls
  • Ensure compliance with enterprise requirements for security, privacy, and scalability
  • Follow ALM best practices, including CI/CD and environment management
  • Partner with cross-functional stakeholders to deliver measurable outcomes
  • Contribute reusable assets, patterns, and documentation

Benefits

  • medical
  • dental
  • vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
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