Automation and AI Solutions Lead

Are you passionate about Automation and AI and eager to make a significant impact? We are seeking a highly motivated Automation & AI Solutions Lead with strong organizational and technical skills.You will work closely with architects, developers, and business stakeholders to translate real-world problems into robust AI systems. The role demands deep expertise in LangGraph, LangChain, and AWS-based deployments, with accountability from discovery through production. Success in this role means delivering reliable, scalable AI solutions that create measurable business impact. If you're excited to make real impact, apply now and be part of our innovative journey! About the Role In this role as an Automation & AI Solutions Lead, you will: Stakeholder Engagement & Discovery Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements. Demo working solutions to internal stakeholders up to business leadership level. Support the Architect during feasibility and POC phases — contribute to rapid builds and validate fit. Maintain stakeholder communication throughout: progress updates, issue escalation, solution walkthroughs. Solution Design & Architecture Co-invest with the Architect in upfront solution design — design robustness directly determines build speed and test quality. Translate architecture into implementation plans — break down into assignable streams for Developer and Associate. Own day-to-day technical decisions during build when the Architect is focused on other projects. Identify architectural risks early and escalate before they become build or production problems. Build, Scale & Production Build complex solution components end-to-end on AWS AgentCore and LangGraph — hands-on coding role. Scale solutions from POC to production: performance, reliability, monitoring, and cost management. Debug production failures: hallucination patterns, retrieval degradation, agent loops, latency regressions. Use AI coding tools (Claude Code, GitHub Copilot, Cursor, Cline) to accelerate delivery. Own all generated code. Build Low Code automations (Copilot Studio, Power Automate) when use case and bandwidth allow. Team Leadership Guide Developer and Associate through implementation, code reviews, and debugging. Ensure the team uses AI tools effectively — accelerating delivery without sacrificing code understanding. Work Mode: Hybrid - 3 days from office. Shift Timing: 1pm IST to 10pm IST About You You’re a fit for the role of Automation & AI Solutions Lead, if your background includes: Must Have: Experience — 5–8 years total; 2–4 years production GenAI/LLM; 12–24 months multi-agent LangGraph; 3 systems owned post-deployment. LangGraph — Multi-agent state machines, parallel execution, checkpointing, HITL — non-negotiable. LangChain — Advanced chains, memory, custom tool integration. AWS AgentCore — Production deployment preferred; strong LangGraph depth with ramp path acceptable. AWS Bedrock — Model deployment, knowledge bases, guardrails. Database & AI Data Access — SQL proficiency, NL-to-SQL, LLM-powered query layers. Snowflake a plus. Systems Integration — REST API development, MCP awareness, enterprise system connectors. Advanced RAG — Hybrid search, re-ranking, query reformulation, retrieval evaluation. Evaluation Frameworks — RAGAS / TruLens, golden test sets, automated regression pipelines. Observability — LangSmith or LangFuse — agent tracing, production debugging. Python — Expert-level — design patterns, async, testing, CI/CD. Multi-Model — OpenAI, Claude, Gemini, Llama — trade-offs at production scale. Pro Code vs Low Code — Working knowledge of Copilot Studio and Power Automate; build when use case fits. AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline — accelerate delivery; own and fix all generated code. Stakeholder Communication — Demo AI solutions to business stakeholders; translate SME knowledge into requirements ... (truncated, view full listing at source)