Chennai, Tamil Nadu, India - Department - AI/ML - Job posted on - Mar 23, 2026 - Employment type - Full Time Employee - Location: Bangalore - Need By: Immediate Role: GenAI Architect (Hands-On) — AI-Accelerated SDLC (Claude Code) - What you’ll do - Translate the customer’s AI-driven SDLC roadmap into a clear target architecture, detailed design, and phased implementation plan. - Design and implement the agentic framework and agent orchestration layer for SDLC use-cases using LangGraph (preferred) and LangChain where appropriate. - Define the right approach per use case: tool calls vs. MCP servers vs. agents, including routing/orchestration patterns and multi-agent collaboration. - Work with a small team (2 members) to build, test, deploy, and operate a portfolio of MCP servers, tools, and agents. - Implement robust LLM integration patterns: prompt/agent design, context & memory management, guardrails, fallback strategies, and cost/latency optimization. - Establish evaluation and quality gates for AI in the SDLC: automated tests, regression evals, golden datasets, and CI integration. - Set up observability & operations: logging, tracing, prompt/version tracking, usage analytics, and runbooks. - Produce enablement assets for Claude Code adoption: - claude.md, memory.md, agent/tool conventions, repo templates - How-to guides for agents, hooks, workflows,



and team best practices - Partner with engineering/security on data privacy, secrets management, and policy compliance. Required experience - 10+ years in software engineering / IT with strong architecture + hands-on delivery. - 2+ years building with GenAI/LLMs in production (agents, tool use, RAG, orchestration). - Strong LangGraph experience (state machines, multi-agent flows, human-in-the-loop), plus LangChain for tooling/integrations. - Demonstrated experience adopting Claude Code in advanced usage (agents, hooks, workflows, repo conventions) and coaching teams. - Robust engineering fundamentals: APIs, CI/CD, testing strategy, SDLC tooling, cloud basics. - Working knowledge of classical ML concepts (certification a plus, not required). Nice to have - Experience building/operating MCP servers and tool ecosystems. - Experience with enterprise security/compliance, data governance, and red teaming. - Experience with developer productivity platforms and SDLC automation (GitHub/GitLab, Jira, code review automation). Deliverables (examples) - Target architecture + detailed design docs for AI-accelerated SDLC using Claude Code + LangGraph orchestration. - Working MCP/tool/agent implementations with CI, evals, and monitoring. - Playbooks/templates (claude.md, memory.md, orchestration patterns) and concise enablement documentation.

📌 Architect - Gen Ai (Chennai)
🏢 Neurealm
📍 Chennai