Senior AI Solutions Architect — End-to-End Automation

Thomson Reuters

Ciudad de México

Hybrid

MXN 1,800,000 - 3,000,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Career development
Mental health days
Tuition reimbursement
Volunteer days

Job summary

Thomson Reuters is seeking a Lead AI Forward Engineer to design and guide delivery of AI-powered solutions across CIO teams. You will own solution design from concept through production, ensuring scalability, security, and compliance while mentoring engineers and defining repeatable patterns.

Responsibilities include end-to-end AI solution design, observability integration, and collaboration with Product, Data Science, and AI Inference Engineering teams.

Qualifications

  • 6+ years of experience in solution architecture, technical strategy, or senior engineering roles.
  • Experience turning prototypes into production in ambiguous environments.
  • Familiarity with LangChain, LlamaIndex, RAG/vector search concepts and enterprise integration.

Responsibilities

  • Architect and guide end-to-end AI solutions for CIO teams, from concept to production.
  • Define reusable patterns and reference designs for broad adoption.
  • Embed AI observability into CI/CD and monitoring for models and workflows.
  • Collaborate with Product, Data Science, and Enterprise AI teams to onboard new use cases.
  • Mentor engineers and share patterns to raise AI solution design maturity.

Skills

AI system design
Python
LLM frameworks
DevOps
Cloud architecture
Observability

Tools

LangChain
LlamaIndex
CI/CD tooling
AWS/Azure/GCP

Job description

Thomson Reuters is seeking a Lead AI Forward Engineer to design and guide delivery of AI-powered solutions across CIO teams. You will own solution design from concept through production, ensuring scalability, security, and compliance while mentoring engineers and defining repeatable patterns.

Responsibilities include end-to-end AI solution design, observability integration, and collaboration with Product, Data Science, and AI Inference Engineering teams.

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