Michael Baker International

Senior Microsoft AI Developer (Copilot Studio & Azure AI)

US$120,179-$170,000Posted 1 day ago

Job Description

JOB DESCRIPTION

Corporate Technology

Michael Baker International understands that people require choices in where they want to build a sustainable future. For more than 85 years, Michael Baker International has maintained an entrepreneurial work environment that fosters great careers and brings great success to the organization. Michael Baker offers many opportunities to grow professionally — whether in Finance, IT, Human Resources, Technology, Communications, or our National Practice and Market segments. Take your next step with us and help make a difference in the lives of those you work with and those we serve.

What We're Looking For

Michael Baker International is seeking a Senior Microsoft AI Developer to join our CTO organization in a fully remote capacity. In this role, you will design and deliver enterprise-grade AI-capable applications and Copilot Studio agents that enable the organization to scale intelligent solutions across the Microsoft ecosystem. You will partner closely with IT, Data & AI, Cybersecurity, Legal, and business stakeholders to build, govern, and continuously improve AI-powered solutions — driving meaningful adoption and measurable business impact.

This is a development-focused role. You will own the engineering and delivery of AI solutions built on Microsoft Copilot Studio, Azure AI Foundry, and the Microsoft Power Platform, working alongside a dedicated Power Platform Administrator who owns tenant governance and the Center of Excellence (CoE) Toolkit.

This is a fully remote position supporting the United States. Michael Baker International does not sponsor employment visas for this position.

What You'll Do

  • Design, build, and maintain Copilot Studio agents — including topics, actions, tools, orchestration, connectors, and knowledge grounding — integrated with enterprise data sources, Microsoft 365, and line-of-business systems
  • Implement retrieval-augmented generation (RAG) patterns against enterprise co

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