Principal AI Systems Architect & Tech Visionary

Thomson Reuters; Eagan (MN); Hybrid; USD 159,000 - 295,000; Full time

Benefits offered by this job

Hybrid work model

Career development programs

Mental health days

Job summary

Thomson Reuters is seeking a senior technical leader to set the direction for AI adoption in CoCounsel’s Forward Deployed Engineering team. You will define technology strategy, own complex AI system design, and drive architecture decisions with autonomy.

You will work with product, engineering, and leadership to align AI initiatives with business goals, mentor engineers, and raise the engineering bar while delivering secure, scalable AI solutions at scale.

Qualifications

• 12+ years of software engineering with system design and architecture.
• Hands-on AI/ML and LLM-powered production experience.
• Expert in Python and RESTful, async, and event-driven architectures.
• Experience with orchestration frameworks and RAG architectures.
• Proficiency with cloud platforms and IaC (Terraform/CDK).
• Security-focused API development and OAuth/OpenID/JWT.
• Familiarity with AI tooling and AI-native engineering practices.

Responsibilities

• Define and drive long-term technical vision and roadmap for FDE.
• Lead high-risk AI initiatives from concept to production, hands-on as needed.
• Architect scalable, secure AI systems that integrate with client environments.
• Design RAG pipelines, multi-agent orchestration, and AI workflows.
• Set standards for MLOps/LLMOps, IaC, CI/CD and observability.
• Mentor engineers and influence across teams and leadership.

Skills

Deep systems design

AI/ML

Architectural leadership

Python (FastAPI)

RESTful / Async / event-driven

Cloud platforms (AWS/Azure/GCP)

Security / OAuth 2.0 / OIDC / JWT

Observability tooling

Tools

LangChain

LangGraph

PydanticAI

AutoGen

MCP

A2A patterns

LangSmith

Langfuse

Braintrust

Job description

Thomson Reuters is seeking a senior technical leader to set the direction for AI adoption in CoCounsel’s Forward Deployed Engineering team. You will define technology strategy, own complex AI system design, and drive architecture decisions with autonomy.

You will work with product, engineering, and leadership to align AI initiatives with business goals, mentor engineers, and raise the engineering bar while delivering secure, scalable AI solutions at scale.