Job Description:
Key Responsibilities
AI Agents & GenAI Solution Development
- Design, build, and deploy AI agents using Foundry + Studio to solve real business problems
- Implement core agent capabilities:
- Tool/function calling, multi-step planning, task decomposition
- Retrieval-Augmented Generation (RAG) with enterprise knowledge sources
- Memory patterns (session/state, long-term memory with governance)
- Guardrails (policy checks, prompt safety, structured outputs)
- Develop agent workflows integrating:
- APIs, databases, event-driven services, internal tools
- Approval loops, HITL (Human-in-the-Loop), and escalation handling

Data & Knowledge Integration
- Build and optimize RAG pipelines:
- Document ingestion, chunking, embedding strategies
- Vector search
- Grounding, citations, and source traceability
- Connect enterprise data sources in AI Foundry (datasets, ontology/semantic models where applicable) and operationalize for agent usage.

Engineering Excellence (Production Readiness)
- Create evaluation frameworks for GenAI:




- Automated tests for factuality/grounding, relevance, toxicity, refusal correctness
- Offline + online evaluation, regression testing for prompts and agent tools
- Implement observability:
- Agent traces, tool-call logs, latency/cost metrics, failure modes
- Ensure security, compliance, and governance:
- Access control, secrets management, PII handling
- Model usage policies, auditability, and change management

Collaboration & Delivery
- Partner with stakeholders to translate requirements into agent designs and deliver measurable outcomes.
- Contribute to reusable libraries, templates, and best practices for Foundry/Studio agent development.

Required Qualifications (Must-Have)
- 3–5 years in software engineering (Python/Java/TypeScript or similar) with production deployment experience.
- Hands-on experience building AI agents in AI Foundry and Copilot Studio (agent workflows, tool integration, deployment).
- Robust understanding of

📌 GenAI Engineer (Mumbai)
🏢 DXC Technology
📍 Mumbai