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Thomson Reuters

Principal Engineer

Thomson Reuters

Principal Software Engineer developing AI orchestration for CoCounsel. Collaborating with cross-functional teams to create reliable workflows for legal professionals.

Posted 7/22/2026full-timeEagan • Minnesota, Missouri, New York, Texas • 🇺🇸 United StatesLead💰 $158,900 - $340,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in identity and access management, with a strong focus on designing and integrating authentication and authorization systems at scale. Proven ability to lead technical initiatives, mentor engineers, and shape engineering culture while ensuring high-performance AI workloads and compliance with legal standards.

Highest-signal resume keywords
Identity And Access ManagementPython ExpertiseDistributed SystemsAI IntegrationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Authentication DesignAuthorization DesignSSOSAMLOIDCOAuth 2.0RBACABACData ModelingAPI Contracts
Soft Skills
Excellent CommunicationMentoring
Tools & Technologies
FastAPIPostgreSQLAWSCloud Provider
Certifications & Qualifications
Bachelor’s Degree In Computer Science
Industry Keywords
Multi-Tenancy IsolationData ResidencyPrivilege ProtectionAudit TrailsLegal Workflows

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsPostgresPython

About the role

Key responsibilities & impact
  • Own identity and trust at the core: Set the direction for how users, agents, and services authenticate and authorize across CoCounsel Legal.
  • Own the design and evolution of authentication and authorization across CoCounsel Legal – considering roles, autonomous agents, etc.
  • 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.
  • Join a tight group of senior engineers and researchers shipping quickly, with direct access to product leadership and customers.
  • Technical leadership and cross-functional influence: 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 shape the team’s roadmap, technical strategy, and engineering culture – from experimentation practices to testing, rollout, and postmortems.
  • Design for high-throughput, low-latency AI workloads: caching, queuing, rate-limiting, model failover, and cost/performance trade-offs.
  • Work with large-scale data: millions of documents, retrieval and search, vector stores, and indexing strategies tailored to legal use cases.
  • Establish and refine SLOs, observability, and incident response for AI systems that must be correct, auditable, and trustworthy in professional legal workflows.

Requirements

What you’ll need
  • Bachelor’s Degree in Computer Science, Computer Engineering, a related field, or equivalent experience.
  • 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).
  • 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.
  • 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.
  • Excellent communication skills and the ability to partner with product, design, security, and ML teams in a fast-moving environment.

Benefits

Comp & perks
  • Hybrid Work Model: flexible hybrid working environment (2-3 days a week in the office)
  • Flex My Way: supportive workplace policies for personal and professional responsibilities
  • Career Development and Growth: culture of continuous learning and skill development
  • Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, Mental Health Days off, access to Headspace app, retirement savings, tuition reimbursement
  • Culture: recognized for inclusion and belonging, flexibility, work-life balance
  • Social Impact: two paid volunteer days off annually, opportunities for pro-bono consulting projects and ESG initiatives
  • Additional benefits: optional hospital, accident and sickness insurance, optional life and AD&D insurance, Flexible Spending and Health Savings Accounts, fitness reimbursement, Employee Assistance Program, Group Legal Identity Theft Protection benefit, access to 529 Plan, commuter benefits, Adoption & Surrogacy Assistance, Tuition Reimbursement, Employee Stock Purchase Plan