The Agentic AI Engineer designs, develops, integrates, and operationalizes enterprise AI agents using Microsoft Foundry and Microsoft Copilot Studio. This role combines software engineering, generative AI, workflow automation, data integration, and technical architecture skills to build AI solutions capable of reasoning over enterprise information, interacting with business systems, orchestrating multi-step processes, and taking actions on behalf of users.
What you'll do
- Design and develop enterprise-grade agentic AI solutions using Microsoft Foundry and Microsoft Copilot Studio.
- Build AI agents that combine large language models, enterprise knowledge, business rules, APIs, tools, and workflow automation.
- Develop pro-code AI solutions using Python, C#, and/or TypeScript, Microsoft Foundry SDKs, REST APIs, and related Azure services.
- Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data and search/indexing technologies such as Azure AI Search.
- Design grounding strategies that enable agents to securely retrieve and reason over structured and unstructured enterprise information.
- Build integrations between AI agents and enterprise applications, APIs, MCP servers, data platforms, Microsoft 365 services, and business processes.
- Implement agent tools and actions that allow agents to perform controlled operations against external systems.
- Develop multi-agent and agent-to-agent orchestration patterns for complex business scenarios.
- Build Copilot Studio agents incorporating knowledge sources, instructions, actions, workflows, connectors, and enterprise integrations.
- Integrate Copilot Studio experiences with more advanced AI capabilities implemented in Microsoft Foundry where appropriate.
- Design prompts, system instructions, tool definitions, grounding strategies, and orchestration logic that produce reliable agent behavior.
- Implement evaluation approaches for measuring agent accuracy, groundedness, relevance, task completion, and overall solution quality.
- Diagnose issues involving prompts, retrieval, context, model responses, API integrations, agent orchestration, and workflow execution.
- Implement appropriate security, identity, access control, data protection, responsible AI, and governance patterns for enterprise agent solutions.
- Establish development practices supporting source control, automated testing, CI/CD, observability, monitoring, and lifecycle management of AI solutions.
- Collaborate with solution architects, data engineers, application developers, business stakeholders, and security teams to translate business processes into deployable AI solutions.
- Develop prototypes and proofs of concept and mature successful concepts into supportable production solutions.
- Avanade promotes a client-centric, flexible work environment. This role may periodically require work during evenings and/or weekends to support project deliverables, client needs, or operational priorities.
- Travel may be required based on client demand.
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Skills & Experience
- Minimum of 3+ years of experience in AI, Data, or consulting roles,
- Minimum of 2+ years Hands-on experience developing solutions using Microsoft Foundry/Azure AI Foundry and/or Microsoft Copilot Studio.
- Minimum of 3+ years Strong software development skills in Python, C#, TypeScript, or a comparable language.
- Minimum of 3+ years Practical experience developing solutions using large language models and generative AI.
- Minimum of 2+ years Understanding of agentic AI concepts including:
- Agent orchestration
- Tool and function calling
- Retrieval-Augmented Generation
- Context management
- Prompt and instruction design
- Agent memory and state
- Multi-step reasoning and workflows
- Multi-agent architectures
- Model Context Protocol (MCP)
- Minimum of 1 year Experience integrating applications through REST APIs, SDKs, MCP servers, connectors, or similar integration technologies.
- Minimum of 3+ years Experience working with structured and unstructured enterprise data.
- Minimum of 3+ years Understanding of authentication, authorization, identity, secrets management, and secure application development.
- Minimum of 3+ years Experience troubleshooting AI applications across the model, retrieval, orchestration, integration, and application layers.
- Minimum of 3+ years Familiarity with DevOps and software engineering practices including Git, automated testing, CI/CD, and application monitoring.
Job Requirements
- Avanade promotes a client-centric, flexible work environment. This role may periodically require work during evenings and/or weekends to support project deliverables, client needs, or operational priorities.
- Travel may be required based on client demand.
Compensation, Benefits, and Required Disclosures
Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 12/31/2026.
Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
See more information on our benefits here: U.S. Employee Benefits | Avanade
Information on benefits is here.
California - $96,000 - $156,730
Cleveland - $96,000 - $136,287
Colorado - $96,000 - $147,190
District of Columbia - $110,200 - $156,730
Illinois - $103,612 - $147,190
Maine - $96,000 - $136,287
Maryland - $96,000- $156,730
Massachusetts - $110,200 - $156,730
Minnesota - $96,000 - $136,287
New York / New Jersey - $118,000 - $167,000
Virginia - $96,000 - $136,287
Washington - $96,000 - $156,730
Additional Information
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