Principal Engineer, CoCounsel

Jobtailor; Minnesota; On-site; USD 180,000 - 230,000; Full time

Job summary

Thomson Reuters is seeking a senior AI platform engineer to shape and scale our AI patterns and systems for professional legal workflows.

You will work on production-grade workloads handling millions of documents with high concurrency, alongside senior engineers and product leadership. Mentoring, security, and platform integration across legal systems are central to the role.

Qualifications

• Bachelor’s Degree in Computer Science, Computer Engineering, a related field, or equivalent experience.
• Experience building with AI – LLMs, agents, and retrieval – and a strong point of view on what “AI-native” software should look like
• Proven track record owning large, complex projects end-to-end: architecture, execution, rollout, and long-term operation
• Deep Python expertise and experience with production systems using frameworks like FastAPI (or similar), relational databases (PostgreSQL or equivalent), and a major cloud provider (AWS preferred)
• Strong background in distributed systems: data modeling, API contracts, observability, resilience patterns, and performance tuning under load
• Hands‑on experience with identity and access management – designing or integrating authentication and authorization at scale (SSO, SAML, OIDC, OAuth 2.0, RBAC/ABAC, token/session management, or comparable IAM systems)
• Excellent communication skills and the ability to partner with product, design, security, and ML teams in a fast-moving environment

Responsibilities

• Shape the company’s AI platform and patterns
• Build and evolve systems that operate over millions of documents, complex and ever-changing law, privileged client data, and thousands of concurrent AI interactions
• Lead and/or design initiatives that cut across AI, product, identity, and infrastructure
• Mentor staff and senior engineers, raising the bar on AI integration practices, system design, code quality, and security
• Help define and lead the platform integration strategy across new and existing Thomson Reuters legal systems
• Define how autonomous agents act on a user’s behalf safely
• Partner with security, platform, and compliance teams on multi-tenancy isolation, data residency, privilege protection, and audit trails
• Design for high-throughput, low-latency AI workloads: caching, queuing, rate-limiting, model failover, and cost/performance trade-offs
• Establish and refine SLOs, observability, and incident response for AI systems that must be correct, auditable, and trustworthy in professional legal workflows

Skills

AI-Native Software Development

LLMs

FastAPI Framework

PostgreSQL

Cloud Computing (AWS)

Data Modeling

API Contracts

Performance Tuning

Authentication and Authorization

Incident Response

Education

Bachelor’s Degree in Computer Science / Computer Engineering or related field

Tools

FastAPI Framework

PostgreSQL

AWS

Job description

• Participate in shaping the company’s AI platform and patterns
• Work at real production scale: Build and evolve systems that operate over millions of documents, complex and ever-changing law, privileged client data, and thousands of concurrent AI interactions from professionals doing time-sensitive work
• Join a tight group of senior engineers and researchers shipping quickly, with direct access to product leadership and customers
• Lead and/or design initiatives that cut across AI, product, identity, and infrastructure
• Mentor staff and senior engineers, raising the bar on AI integration practices, system design, code quality, and security across the org
• Help define and lead the platform integration strategy across new and existing Thomson Reuters legal systems
• Define how autonomous agents act on a user’s behalf safely
• Partner with security, platform, and compliance teams on multi-tenancy isolation, data residency, privilege protection, and the audit trails that legal and government customers require
• Design for high-throughput, low-latency AI workloads: caching, queuing, rate-limiting, model failover, and cost/performance trade-offs
• Establish and refine SLOs, observability, and incident response for AI systems that must be correct, auditable, and trustworthy in professional legal workflows

Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering, a related field, or equivalent experience
• Demonstrated experience building with AI – LLMs, agents, and retrieval – and a strong point of view on what “AI-native” software should look like
• Proven track record owning large, complex projects end-to-end: architecture, execution, rollout, and long-term operation
• Deep Python expertise and experience with production systems using frameworks like FastAPI (or similar), relational databases (PostgreSQL or equivalent), and a major cloud provider (AWS preferred)
• Strong background in distributed systems: data modeling, API contracts, observability, resilience patterns, and performance tuning under load
• Hands‑on experience with identity and access management – designing or integrating authentication and authorization at scale (SSO, SAML, OIDC, OAuth 2.0, RBAC/ABAC, token/session management, or comparable IAM systems)
• Excellent communication skills and the ability to partner with product, design, security, and ML teams in a fast-moving environment

Hard Skills

• AI-Native Software Development
• Large Language Models (LLMs)
• FastAPI Framework
• PostgreSQL
• Cloud Computing (AWS)
• Data Modeling
• API Contracts
• Performance Tuning
• Authentication and Authorization
• Incident Response

Soft Skills

• Excellent Communication
• Mentoring