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About the Role

Join Thomson Reuters' CoCounsel Forward Deployed Engineering team to build the next generation of legal AI solutions from the ground up. This high-impact group works at the frontier of legal AI, shipping code directly to law firms and corporate legal departments, shaping how legal professionals work. As a Senior Software Engineer – AI, you will collaborate with architects and engineers to design, build, and deploy bespoke AI solutions from zero to one, owning your work end to end and contributing to solution design with deep AI engineering craft.

Responsibilities

Design and implement AI-powered solutions tailored to law firm and corporate legal workflows, including contract review, litigation support, discovery automation, and regulatory analysis.
Work within architectural frameworks set by the AI Solutions Architect to build scalable, secure, and maintainable AI systems.
Architect RAG pipelines, custom AI agents, and multi-component systems that integrate securely into client environments.
Build and configure multi-step agentic workflows leveraging CoCounsel, Westlaw, and Practical Law capabilities, as well as third-party AI APIs and enterprise integrations.
Implement Agent-to-Agent (A2A) workflows and Model Context Protocol (MCP) integrations to enable interoperability between AI agents and external tools, data sources, and enterprise systems.
Design and deploy bespoke automation pipelines and integration scripts tailored to each customer's use case.
Implement MLOps and LLMOps practices to support scalable, maintainable deployment of AI solutions in production.
Implement monitoring, logging, and tracing solutions to track LLM performance, latency, token usage, and system health in production.
Leverage AI evaluation platforms to assess model outputs, track evaluation metrics over time, and surface quality regressions across deployed solutions.
Contribute to LLM evaluation efforts — assessing model outputs for accuracy, citation quality, hallucination risk, and fitness for high-stakes legal use.
Develop and maintain evaluation benchmarks, test suites, and red-teaming protocols grounded in real legal workflows.
Ensure all solutions comply with ethical AI principles, data protection standards, and enterprise security requirements.
Participate in technical discovery on client engagements — contributing to use case scoping, solution design discussions, and early-stage prototyping.
Translate complex legal workflows, pain points, and client goals into concrete engineering tasks and implementation plans.
Conduct technical demonstrations and early-stage prototyping to support solution design and client confidence.
Build trust with legal professionals through fluency in legal terminology, workflows, and the real-world constraints of legal practice.
Work directly with legal SMEs to understand their professional reasoning and judgement, and translate that domain knowledge into AI pipeline design, evaluation criteria, and benchmarks.
Collaborate closely with Senior Legal AI Engineers, the AI Solutions Architect, and fellow AI engineers to deliver high-quality solutions across engagements.
Contribute to team knowledge-sharing, internal documentation, and reusable solution templates that accelerate delivery across the team.
Evaluate and prototype cutting-edge AI techniques, including emerging agentic frameworks, MCP-based tool integrations, and prompt engineering approaches.
Stay current with AI research and the rapidly evolving legal AI landscape, bringing new ideas and approaches into the team.

Requirements

5+ years of software engineering experience with a strong foundation in system design, distributed systems, and clean architecture.
At least 2 years of hands-on experience building and deploying AI/ML solutions in production, including LLM-powered applications.
Proficiency in orchestration frameworks such as LangChain, LangGraph, PydanticAI, or AutoGen, and solid understanding of RAG architectures and vector databases.
Experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) workflow patterns for building interoperable, tool-augmented AI systems.
Strong proficiency in Python (FastAPI or equivalent) and experience building RESTful and async, event-driven architectures.
Experience with cloud platforms (AWS, Azure, or GCP) and familiarity with Infrastructure as Code tools (Terraform, CDK, or equivalent).
Experience with observability and monitoring stacks for production AI systems.
Experience with AI evaluation platforms and the ability to contribute to structured evaluation pipelines for LLM-powered applications.
Strong background in secure API development, including authentication and authorization protocols (OAuth 2.0, OpenID Connect, JWT).
Strong prompt engineering skills — ability to design, iterate, and optimize LLM prompts for specialized domain tasks.
Demonstrated fluency with AI-assisted development tools (e.g., Claude Code, Cursor, or GitHub Copilot).
Excellent communication skills with the ability to engage credibly with both engineers and non-technical stakeholders, including legal professionals.
Comfort working independently, navigating ambiguity, and contributing meaningfully in client-facing workshops and discovery sessions.
Fluency in legal terminology and demonstrated experience working directly within or alongside legal teams.
Experience in a regulated industry — legal, fintech, or healthcare — and familiarity with associated compliance and data privacy requirements.
Experience with legal platforms, document management systems, and legal technology ecosystems.
Experience with container orchestration (Docker/Kubernetes).
Knowledge of MLOps and LLMOps practices for production AI system lifecycle management.
Understanding of the scaling, limitations, and fine-tuning of transformer-based models.
Familiarity with emerging AI interoperability standards and protocols, including MCP ecosystem tooling and A2A communication patterns.
A portfolio of projects demonstrating in skill building complex, production-grade AI solutions.

Skills

AI/ML
LLM
RAG
Vector Databases
LangChain
LangGraph
PydanticAI
AutoGen
MCP
A2A
Python
FastAPI
RESTful APIs
Async Architectures
Event-Driven Architectures
Cloud Platforms (AWS, Azure, GCP)
Infrastructure as Code (Terraform, CDK)
Observability
Monitoring
AI Evaluation Platforms
Secure API Development
Authentication
Authorization
OAuth 2.0
OpenID Connect
JWT
Prompt Engineering
AI-Assisted Development Tools
Container Orchestration (Docker/Kubernetes)
MLOps
LLMOps

Location

New York City
San Francisco
Los Angeles
Irvine, CA
McLean, VA
Washington, DC
Ontario, Canada

Work Type

Hybrid
Work from anywhere for up to 8 weeks per year

Experience Level

Senior
5+ years of software engineering experience
2+ years of hands-on experience building and deploying AI/ML solutions in production

Salary/Compensations

$136,000 USD - $253,000 USD (US locations)
$118,400 USD - $219,800 USD (Other US locations)
$100,000 CAD - $145,000 CAD (Ontario, Canada)

Benefits

Flexible hybrid working environment
Flex My Way policies
Work from anywhere for up to 8 weeks per year
Career Development and Growth opportunities
Grow My Way programming
Skills-first approach
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings with company match
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging
Two paid volunteer days off annually
Pro-bono consulting projects
Environmental, Social, and Governance (ESG) initiatives
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan

About the Company

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations.
More information on requesting an accommodation here.
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