GenAI Engineer / AI Agent Engineer – AI Foundry & Copilot Studio
DXC Technology (company site, opens in a new tab)3–5 yrsMumbaiOn-siteDirect career pageEst. 15–28 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy AI agents using AI Foundry and Copilot Studio to solve business problems with capabilities like tool/function calling, multi-step planning, and task decomposition.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and integrate enterprise data sources for AI agent usage.
- Implement production readiness practices including evaluation frameworks, observability, security, compliance, and collaborate with stakeholders to deliver measurable outcomes.
Minimum Requirements
- 3–5 years software engineering experience with Python/Java/TypeScript and production deployment.
- Hands-on experience building AI agents in AI Foundry and Copilot Studio including agent workflows, tool integration, deployment.
- Strong understanding of LLMs and prompt engineering patterns such as system prompts, structured outputs, function/tool calling, chain-of-thought-safe methods.
- Experience with RAG techniques, embeddings, vector search, data integration with REST APIs, microservices, message queues, and databases.
Ideal Candidate Profile
- Experienced in designing complex AI agent workflows and integrating multi-source enterprise data with governance considerations.
- Comfortable implementing full production lifecycle including automated evaluations, observability, security policies, and performance optimizations.
- Familiar with GenAI development best practices, AI model governance, and working in collaborative environments translating requirements into scalable AI agent solutions.