Senior AI Systems Architect & Technical Leader

Thomson Reuters; New York (NY); Hybrid; USD 159,000 - 295,000; Full time

Benefits offered by this job

Hybrid Work Model

Competitive benefits

Tuition reimbursement

Job summary

Thomson Reuters is seeking a senior technical leader for the Forward Deployed Engineering team to shape the AI strategy across CoCounsel's bespoke solutions. You will drive architecture, hands-on design, and high‑risk delivery with engineers and architects, aligning work with product and business goals.

You will mentor engineers, set MLOps standards, and own evaluations of models and tools, ensuring secure, scalable AI systems and trusted outcomes for clients across legal tech.

Qualifications

• 12+ years of software engineering with system design and architecture expertise.
• Expert-level, hands-on experience building AI/ML and LLM-powered apps in production.
• Proficiency with orchestration frameworks and RAG architectures.
• Experience with MCP and A2A patterns for interoperable AI systems.
• Expert Python (FastAPI) and modern RESTful architectures.
• Cloud platform experience (AWS/Azure/GCP) and Infrastructure as Code.

Responsibilities

• Define and drive long-term technical vision and strategy for FDE.
• Lead complex AI initiatives from concept to production with hands-on design and prototyping.
• Architect scalable, secure AI systems integrating with client environments.
• Design RAG pipelines, multi-agent orchestration, and agentic workflows.
• Set standards for MLOps/LLMOps, IaC, and CI/CD.

Skills

Software architecture

AI/ML production

LangChain/LangGraph

Python (FastAPI)

Cloud platforms

MLOps/LLMOps

Security API development

Tools

Docker

Kubernetes

Terraform

CDK

Job description

Thomson Reuters is seeking a senior technical leader for the Forward Deployed Engineering team to shape the AI strategy across CoCounsel's bespoke solutions. You will drive architecture, hands-on design, and high‑risk delivery with engineers and architects, aligning work with product and business goals.

You will mentor engineers, set MLOps standards, and own evaluations of models and tools, ensuring secure, scalable AI systems and trusted outcomes for clients across legal tech.