Manager, AI and Applied Research

Thomson Reuters

Manager leading a team of Applied Scientists and Research Engineers at Thomson Reuters Labs. Driving AI-driven product roadmap and managing performance expectations in AI solutions.

Posted 7/7/2026full-timeEagan • Minnesota, Missouri, New York, Texas • 🇺🇸 United StatesSeniorLead💰 $171,000 - $366,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing high-performing teams of Applied Scientists and Research Engineers, with a strong focus on delivering scalable AI solutions in enterprise environments. Proficient in translating complex AI research into practical applications while effectively communicating with both technical and non-technical stakeholders.

Highest-signal resume keywords

PhD In Relevant Discipline8+ Years Experience In IR/NLP SystemsStrong Experience In GenAI/Rag/LLMExpertise In Python Development And MLOpsPrior Management Experience In Coaching Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Building AI SolutionsNLP Systems DevelopmentProduction Code WritingSoftware Delivery ManagementModel Monitoring And Governance

Soft Skills

Outstanding Communication SkillsProblem Solving SkillsAnalytical Skills

Tools & Technologies

AWSAzureContainerizationML Pipelines OrchestrationMicroservices Architecture

Industry Keywords

AI ResearchEnterprise EnvironmentsMinimum Viable ProductsExperimentationAdvanced Search Technology

Tech Stack

Tools & technologies

AWSAzureCloudMicroservicesPython

About the role

Key responsibilities & impact

Manage a team of Applied Scientists and Research Engineers, ensuring a high-performance culture.
Build, mentor, and grow a high-performing team of applied scientists.
Translate state-of-the-art AI research into scalable, production-ready solutions.
Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap.
Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation.
Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences.

Requirements

What you’ll need

PhD in a relevant discipline or Master’s plus a comparable level of experience
8+ years hands-on experience building IR / NLP systems for commercial applications
Strong experience in GenAI/Rag/LLM
Prior management experience – coaching & developing high-performing teams
Strong track record of delivering AI solutions at scale in enterprise environments
Ability to influence senior stakeholders and align AI initiatives with business goals
Experience delivering minimum viable products in a large enterprise environment
Demonstrable experience translating complex problems into successful AI applications
Experience writing production code and ensuring well-managed software delivery
Expertise in several of the following areas: robust Python development, MLOps, containerization, cloud infrastructure (AWS and Azure), advanced search and recommendation technology, orchestration of ML pipelines for real-time inference, microservices architecture, model monitoring and governance.
Outstanding communication, problem solving, and analysis skills.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible vacation
Company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
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
Tuition Reimbursement
Access to Employee Stock Purchase Plan