GenAI Engineer / AI Agent Engineer – AI Foundry & Copilot Studio

DXC Technology Inc.; Mumbai; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

DXC Technology is seeking an experienced software engineer to design and deploy AI agents within our GenAI initiatives. You will build agent workflows, integrate REST APIs and internal tools, and ensure production readiness with monitoring, testing, and governance.

The role emphasizes collaboration with stakeholders, scalable architectures, and reusable templates to accelerate enterprise AI deployments.

Qualifications

• 3–5 years in software engineering with production deployment experience.
• Hands-on experience building AI agents in Foundry and Copilot Studio.
• Strong understanding of LLMs, prompts, and structured outputs (JSON).
• Experience with embedding-based search, RAG, and grounding techniques.

Responsibilities

• Design, build, and deploy AI agents using Foundry + Studio.
• Implement core agent capabilities: tool calling, planning, memory, and governance.

Skills

Python

Java/TypeScript

AI Foundry

Copilot Studio

LLM Prompts

REST APIs

Education

B.E./B.Tech in CS/EE

M.Tech

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Job description

Key Responsibilities

• 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).
• Strong understanding of LLMs and prompting patterns: System prompts, structured outputs (JSON), function/tool calling, chain‑of‑thought‑safe patterns.
• Solid experience with RAG and search: Embeddings, vector databases/search, chunking, reranking, grounding techniques.
• Experience integrating GenAI solutions with: REST APIs, microservices, message queues, databases.
• Familiarity with software engineering best practices: Unit/integration testing, CI/CD, code reviews, documentation.

Preferred Qualifications (Nice‑to‑Have)

• Experience with one or more agent frameworks/concepts: LangGraph/LangChain, Semantic Kernel, AutoGen‑style orchestration patterns.
• Experience with model providers and deployment patterns: Azure OpenAI / OpenAI / open‑source models.
• Exposure to governance and compliance in enterprise AI: Data classification, audit logging, model risk management.

Core Technical Skills (Current GenAI Stack)

• Languages: Python (preferred), Java/TypeScript (plus)
• GenAI/LLM: Prompt engineering, tool calling, structured outputs, safety patterns
• AI Foundry & Copilot Studio: Building pipelines, deploying apps/workflows/agents, access controls
• Agents: Planning + tools + memory + orchestration; multi‑agent (optional)
• RAG: Embeddings, retrieval strategies, reranking, grounding/citations
• Evaluation: Golden datasets, automated evals, human review loops, regression testing
• MLOps/DevOps: CI/CD, containerization, monitoring, performance/cost optimization

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances.

We’re committed to fostering an inclusive environment where everyone can thrive.

DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on dxc.com.