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Thomson Reuters

Automation and AI Solutions

Thomson Reuters

Automation & AI Solutions role creating AI systems by collaborating with architects, developers, and business stakeholders. Leading technical decisions and building complex components on AWS.

Posted 6/22/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

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 the 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 the 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 Agent Core and Lang Graph — 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
  • 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.

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) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions.
  • Industry Competitive Benefits: We offer 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.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

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Hard Skills & Tools
GenAILLMLangGraphLangChainAWS AgentCoreAWS BedrockSQLREST APIPythonAI Development Tools
Soft Skills
stakeholder communicationteam guidanceproblem-solvingtechnical decision-makingcode review