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Automation and AI Solutions Lead
Thomson Reuters. Engage internal SMEs to understand current processes and as-is workflows — translate into buildable AI requirements .
Tech Stack
Tools & technologiesAWSPythonSQL
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GenAILLMLangGraphLangChainAWS AgentCoreAWS BedrockSQLREST API developmentPythonObservability
Soft Skills
stakeholder communicationteam guidanceissue escalationsolution walkthroughscode reviews