Thomson Reuters
Staff Software Engineer / Architect - AI, CoCounsel FDE
United States of America, Frisco, Texas · Canada, Toronto, Ontario · United States of America, Ann Arbor, Michigan · United States of America, Eagan, Minnesota
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Lead / management
- Countries
- US, CA
- Work mode
- On-site / unstated
- First seen by hirly
- 3 Oct 2026
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the posting
Job Description
Thomson Reuters is looking for a Staff Software Engineer / Architect – AI to join our CoCounsel Forward Deployed Engineering team.
This role sits at the intersection of AI engineering, architecture, product development, and customer delivery . You will work directly with customers to understand complex business and technical problems, design the right AI-powered solution, and help build and deploy that solution into production.
The ideal candidate is a highly hands-on AI engineer who can move comfortably between customer discovery, technical architecture, software development, and production delivery. You will contribute to reusable AI capabilities while also solving customer-specific challenges in complex enterprise environments.
Key Responsibilities
- Partner directly with customers and internal stakeholders to understand business and technical problems and translate them into scalable AI solutions.
- Architect, build, and deliver production-grade AI applications and services.
- Develop solutions leveraging LLMs, RAG, agentic workflows, evaluation frameworks, and enterprise integrations .
- Design secure, scalable architectures that integrate with customer-owned and Thomson Reuters infrastructure.
- Contribute hands-on to software development, APIs, services, deployment, and production operations.
- Build reusable technical components, patterns, and frameworks that can support multiple customer engagements.
- Establish appropriate observability, monitoring, evaluation, MLOps/LLMOps, security, and governance practices.
- Participate in technical design reviews and mentor engineers on architecture and implementation.
- Work across engineering, product, and customer-facing teams to drive solutions from problem discovery through production deployment.
Required Qualifications
- 8+ years of software engineering experience , including significant experience designing and delivering production systems.
- Strong hands-on software engineering and architecture experience.
- Demonstrated experience building and deploying production AI/ML or LLM-powered systems .
- Experience with technologies and patterns such as LLMs, RAG, agents, evaluation, MLOps/LLMOps, observability, and enterprise integrations .
- Experience working directly with customers or business stakeholders to identify technical problems and develop solutions.
- Strong understanding of scalable APIs, services, distributed systems, cloud platforms, and production software engineering practices.
- Ability to operate across the full solution lifecycle: discovery → architecture → build → deployment → production support .
- Strong communication skills and ability to explain complex technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience in Forward Deployed Engineering, Solutions Engineering, or customer-facing AI engineering .
- Experience working in tax, audit, insurance, financial services, legal technology, or other regulated industries .
- Experience working in enterprise SaaS, AI startups, or highly technical customer-facing engineering environments.
- Experience with security, compliance, governance, and auditability requirements for enterprise AI systems.
- Experience designing reusable platforms or frameworks across multiple customer implementations.
- Experience mentoring senior engineers or leading complex technical initiatives.
#LI-TH1
- This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
- What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: 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.
Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $137,100 USD - $254,700 USD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
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