Staff Software Engineer - AI II

Company: Thomson Reuters

Location: New York, NY

Type: Full-time

Posted: 2026-06-22

About this role

Staff Software Engineer (AI) – Forward Engineering
Build the future of AI‑powered systems at Thomson Reuters
Join our Forward Engineering team and help reinvent how Thomson Reuters operates. As a Staff Software Engineer (AI), you'll architect and prototype AI‑driven systems—multi‑agent workflows, advanced RAG pipelines, intelligent automation—and work directly with business and product leaders to turn real problems into transformative, AI‑first solutions.


This is a hands‑on, high‑influence role for an engineer who thrives at the intersection of systems design, applied AI, and cross‑functional partnership.


About The Role

  • Build enterprise‑grade AI systems — including domain‑specific agent frameworks and advanced RAG architectures.
  • Drive AI innovation by leading proofs of concept, evaluating emerging techniques, and translating research into deployable solutions.
  • Own architecture — converting business needs into scalable designs, defining patterns, and guiding engineering best practices (MLOps / LLMOps).
  • Partner across TR — embedding with business units, SMEs, and product teams to co‑create AI solutions and accelerate adoption.
  • Scale prototypes into production and help shape engineering standards for TR’s AI‑first transformation.

About You

  • 8+ years in software engineering, with 4+ years leading AI/ML system development.
  • Deep expertise in Python and modern ML/AI frameworks (PyTorch, TensorFlow, JAX).
  • Strong foundations in machine learning, distributed systems, and scalable architectures.
  • Demonstrated ownership of AI lifecycle: deployment, monitoring, model management, evaluation.
  • Experience with AWS/Azure/GCP and infrastructure tooling (Docker, Kubernetes, Terraform).
  • Proven ability to integrate AI into production systems using APIs, pipelines, and cloud‑native patterns.
  • Experience designing and validating agentic systems, including evaluation frameworks for non‑deterministic model behavior.

**AI‑Native Engineering...

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