Automation And Ai Solutions Lead

Thomson Reuters

Not specified; not specified; comprehensive benefi...
Hybrid
5-8 years total experience
2-4 years production genai/llm
12-24 months multi-agent langgraph
This role involves translating real-world business problems into robust, scalable AI systems using advanced frameworks like LangGraph and LangChain

Job Summary

  • This role involves translating real-world business problems into robust, scalable AI systems using advanced frameworks like LangGraph and LangChain.
  • The successful candidate will lead the end-to-end build process from discovery to production, ensuring reliability and measurable business impact.
  • Thomson Reuters offers a hybrid work model, flexible policies for work-life balance, and comprehensive benefits including mental health support and tuition reimbursement.

Matching Summary

This role involves translating real-world business problems into robust, scalable AI systems using advanced frameworks like LangGraph and LangChain.

Salary

Not specified; Not specified; Comprehensive benefit plans including vacation, mental health days, and retirement savings

Skills & Requirements

Must-have

  • 5-8 years total experience
  • 2-4 years production GenAI/LLM
  • 12-24 months multi-agent LangGraph
  • AWS AgentCore deployment
  • Python expert-level proficiency
  • Advanced RAG implementation
  • LangSmith or LangFuse observability

Nice-to-have

  • Snowflake database knowledge
  • Copilot Studio low-code automation
  • Fine-tuning with LoRA/QLoRA
  • Document intelligence OCR skills
  • Google Agentspace experience
  • Azure AI Foundry production experience

Key Requirements

  • 5-8 years total professional experience
  • 2-4 years in production GenAI/LLM roles
  • 12-24 months hands-on LangGraph experience
  • 3+ systems owned post-deployment
  • Expert-level Python programming skills

Work Rights

Not specified

Tailored Resume

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