AI Solutions Architect

Thomson Reuters • Eagan, MN

10h

About The Position

The AI Solutions Architect helps law firm customers transform legal work using Thomson Reuters Legal AI. The role combines legal-practice experience, product expertise, and practical knowledge of AI to identify valuable legal workflows, design and test AI-enabled solutions, and help customers adopt successful use cases at scale. Working closely with Customer Success Managers and other teams, the role supports adoption across customer organizations, especially among high-value users.

The position involves in-person customer engagements, including discovery sessions, demonstrations, workflow workshops, and executive briefings. The architect advises on Legal AI use cases and solution design, develops reusable prompts and playbooks, determines whether customer needs are best met with Thomson Reuters products, partner solutions, integrations, or custom development, and shares customer feedback with internal teams. The role also contributes to thought leadership through events, advisory boards, and customer-facing content. Regular travel to customer and firm sites is required, approximately 25–30% of the time, varying by quarter; candidates must be willing and able to travel as a condition of employment.

Requirements

• J.D. from an accredited U.S. law school.
• Prior experience practicing law, such as in a law firm, in-house legal department, government, clerkship, or comparable legal practice setting.
• Proven experience in customer- or client-facing roles; enterprise or complex-account experience is desirable.
• Familiarity with legal workflows and processes such as due diligence, eDiscovery, large document review, compliance, or related domains, gained through direct practice, adjacent roles, or work with legal professionals.
• Demonstrable experience with generative artificial intelligence applications.
• Substantial experience using online legal research and practice tools, such as Westlaw, Practical Law, HighQ, Relativity, or Everlaw.
• Tech-savvy with a strong aptitude for learning AI tools and platforms; formal technical or programming experience is not required.
• Understanding of large language model (LLM) architecture and operation, and comfort working hands-on with AI tools.
• Ability to communicate technical concepts, create clear documentation and learning materials, and deliver persuasive presentations tailored to non-technical or skeptical customers.
• Ability to work directly with customers to solve complex problems, including through in-person, on-site engagements.
• Creativity, curiosity, and a growth mindset, with the ability to simplify ambiguous challenges and turn them into opportunities.
• Constructive approach to challenges and ability to frame Thomson Reuters solutions positively and accurately.
• Willingness and ability to travel regularly, approximately 25–30% of the time, varying by quarter.

Nice To Haves

• Experience with basic programming, such as Python, and/or exploratory coding for problem-solving.
• Experience working with enterprise accounts in customer-facing roles.
• Knowledge of due diligence, eDiscovery, large document sets, data rooms, and related workflows where AI can accelerate results.
• Ability to explain LLM architecture and operation and work hands-on with AI tools without a formal technical or engineering background.
• Experience creating high-quality documentation and learning materials and persuasive presentations for non-technical or skeptical customers.
• Experience simplifying ambiguous challenges and applying creativity, curiosity, and a growth mindset to problem-solving.
• Awareness of emerging AI research and industry trends, including critical consideration of risks, opportunities, and societal impact.
• An experimental approach that treats setbacks as opportunities to learn, iterate, and improve outcomes.

Responsibilities

• Lead in-person discovery sessions, solution demonstrations, workflow workshops, and executive briefings with law firm customers to identify priority legal workflows and demonstrate how Thomson Reuters Legal AI can address them.
• Support customers through the lifecycle of Legal AI adoption by identifying and prioritizing use cases, advising on workflow and solution design, demonstrating capabilities, and helping successful use cases scale across teams and practice areas.
• Partner with Customer Success Managers to develop and execute Legal AI adoption strategies for a portfolio of select law firm customers, focusing on enabling high-value users, expanding successful workflows, and supporting sustained usage.
• Discover, test, and document best practices for applying Thomson Reuters Legal AI to customer workflows, producing reusable use cases, prompts, playbooks, and workflow patterns.
• Assess whether customer needs are best addressed through Thomson Reuters products, partner solutions, integrations, or custom development, and bring together appropriate technical and business partners.
• Communicate customer needs to Customer Success and cross-functional Product, Engineering, and Marketing partners, and highlight opportunities to improve and innovate legal AI products.
• Contribute to thought leadership by sharing expertise with customers and the broader market through events, advisory boards, or customer-facing content.
• Advocate for Thomson Reuters products by understanding their strengths, areas for improvement, and roadmaps, and explaining how they can support customers’ client advocacy.
• Stay current with emerging AI research and industry trends and consider associated risks, opportunities, and societal impacts.
• Travel regularly to customer and firm sites for client engagements, demonstrations, and team initiatives.

Benefits

• Flexible work arrangements, including work from anywhere for up to 8 weeks per year.
• Flexible vacation and paid time off, including sick and safe time and paid holidays.
• Two company-wide Mental Health Days off annually.
• Access to the Headspace app and an Employee Assistance Program.
• Retirement savings plan with company match.
• Tuition reimbursement.
• Employee incentive programs and possible annual bonus based on enterprise and individual performance.
• Comprehensive health, dental, vision, disability, and life insurance programs.
• Parental leave and sabbatical leave.
• Flexible Spending Accounts and Health Savings Accounts.
• Fitness reimbursement and resources for mental, physical, and financial wellbeing.
• Two paid volunteer days off annually and opportunities to participate in pro-bono consulting and ESG initiatives.
• Optional hospital, accident and sickness insurance, paid by the employee.
• Optional life and AD&D insurance, paid by the employee.
• Group Legal Identity Theft Protection benefit, paid by the employee.
• Access to a 529 Plan and commuter benefits.
• Adoption and Surrogacy Assistance.
• Employee Stock Purchase Plan.
• Inclusive and flexible workplace culture with a focus on work-life balance and belonging.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree