Manager AI and Applied Research

About the role

In this opportunity as Manager, Applied Research you will:

• Manage: Direct the efforts of a team of Applied Scientists and Research Engineers, ensuring a high-performance culture.
• Nurture your team’s career development and manage performance expectations through servant leadership and active coaching.
• Lead and Inspire: Build, mentor, and grow a high-performing team of applied scientists.
• Drive Research to Production: Translate state-of-the-art AI research into scalable, production-ready solutions.
• Shape Strategy: Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap.
• Ensure Operational Excellence: Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation.
• Champion Innovation: Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences.

Responsibilities

You're a fit for the role of Manager, Applied Research if your background includes:

• Basic Qualifications: 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
• 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

Requirements

You should have:

• Advanced Qualifications: 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
• Prior management experience – coaching & developing high-performing teams
• 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

Qualifications

You should have:

• Basic Qualifications: 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
• 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

Skills

You should have:

• Basic Qualifications: 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
• 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

At Thomson Reuters, we offer:

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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.
• 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 and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Pay

The base compensation range for the role in any of the eligible US locations is $171,000 USD - $317,600 USD.

Schedule

This role may be eligible for a flexible schedule.