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Thomson Reuters

Automation and AI Solutions Lead

Thomson Reuters

. Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements .

Posted 5/18/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AWSPythonSQL

About the role

Key responsibilities & impact
  • 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
  • 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 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
  • Guide Developer and Associate through implementation, code reviews, and debugging
  • Ensure the team uses AI tools effectively — accelerating delivery without sacrificing code understanding

Requirements

What you’ll need
  • 5–8 years total experience
  • 2–4 years production GenAI/LLM
  • 12–24 months multi-agent LangGraph
  • 3+ systems owned post-deployment
  • Must have experience with LangGraph — Multi-agent state machines, parallel execution, checkpointing, HITL
  • Must have experience with LangChain — Advanced chains, memory, custom tool integration
  • Preferably experience with AWS AgentCore — Production deployment preferred; strong LangGraph depth with ramp path acceptable
  • Experience with AWS Bedrock — Model deployment, knowledge bases, guardrails
  • SQL proficiency, NL-to-SQL, LLM-powered query layers
  • Familiarity with Snowflake a plus
  • Experience with REST API development, MCP awareness, enterprise system connectors
  • Familiarity with Advanced RAG — Hybrid search, re-ranking, query reformulation, retrieval evaluation
  • Knowledge of Evaluation Frameworks — RAGAS / TruLens, golden test sets, automated regression pipelines
  • Experience with Observability — LangSmith or LangFuse — agent tracing, production debugging
  • Expert-level Python — design patterns, async, testing, CI/CD
  • Multi-Model experience — OpenAI, Claude, Gemini, Llama — trade-offs at production scale
  • Working knowledge of Pro Code vs Low Code — Copilot Studio and Power Automate; build when use case fits
  • Familiarity with AI Development Tools — Claude Code, GitHub Copilot, Cursor, or Cline
  • Strong stakeholder communication skills to demo AI solutions to business stakeholders; translate SME knowledge into requirements

Benefits

Comp & perks
  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
  • Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities
  • Comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing
  • Award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more

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Hard Skills & Tools
GenAILLMLangGraphLangChainAWS AgentCoreAWS BedrockSQLREST API developmentPythonObservability
Soft Skills
stakeholder communicationteam guidanceissue escalationsolution walkthroughscode reviews