Automation and AI Solutions Lead

Thomson Reuters

Automation & AI Solutions Lead developing robust AI systems for Thomson Reuters. Collaborating with architects and business stakeholders to translate real-world problems into scalable AI solutions.

Posted 6/11/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPythonSQL

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
LangGraph — multi-agent state machines, parallel execution, checkpointing, HITL — non-negotiable
AWS Bedrock — Model deployment, knowledge bases, guardrails
SQL proficiency, NL-to-SQL, LLM-powered query layers; Snowflake a plus
REST API development, MCP awareness, enterprise system connectors
Advanced RAG — Hybrid search, re-ranking, query reformulation
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
Working knowledge of Copilot Studio and Power Automate
Stakeholder Communication — Demo AI solutions to business stakeholders; translate SME knowledge into requirements
AWS AgentCore Deep — All services hands-on
MCP / A2A — Server/client production implementation
Document Intelligence — OCR, layout-aware chunking
Fine-Tuning — LoRA / QLoRA for domain adaptation
Certifications — AWS ML Specialty, Azure AI Engineer, GCP ML Engineer

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
Career Development and Growth: By fostering a culture of continuous learning and skill development
Industry Competitive Benefits: comprehensive benefit plans to include flexible vacation, Mental Health Days off, access to Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually

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Hard Skills & Tools

GenAILLMLangGraphAWS BedrockSQLREST API developmentPythonDocument IntelligenceFine-TuningAdvanced RAG

Soft Skills

Stakeholder CommunicationTeam GuidanceIssue EscalationSolution WalkthroughsTechnical Decision Making

Certifications

AWS ML SpecialtyAzure AI EngineerGCP ML Engineer