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About the Role

Define and drive the technical vision for AI-powered search, discovery, and knowledge systems. Lead development of retrieval, ranking, semantic search, RAG, and agentic AI capabilities. Design and optimize retrieval architectures using embeddings, reranking, hybrid search, knowledge graphs, and contextual retrieval techniques. Establish evaluation frameworks and benchmarks for search quality, relevance, grounding, and answer quality. Partner closely with Product and Engineering teams to translate customer needs into scalable AI solutions. Provide technical leadership on AI strategy, roadmap planning, and investment decisions. Mentor scientists and engineers while promoting best practices across the organization.

Responsibilities

Define and drive the technical vision for AI-powered search, discovery, and knowledge systems.
Lead development of retrieval, ranking, semantic search, RAG, and agentic AI capabilities.
Design and optimize retrieval architectures using embeddings, reranking, hybrid search, knowledge graphs, and contextual retrieval techniques.
Establish evaluation frameworks and benchmarks for search quality, relevance, grounding, and answer quality.
Partner closely with Product and Engineering teams to translate customer needs into scalable AI solutions.
Provide technical leadership on AI strategy, roadmap planning, and investment decisions.
Mentor scientists and engineers while promoting best practices across the organization.

Requirements

A PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, or a related field.
8+ years of industry experience building and deploying production AI systems at scale.
Proven experience delivering search, retrieval, NLP, knowledge graph, recommendation, or Generative AI solutions.
A strong product mindset with the ability to translate complex customer problems into successful AI applications.
Experience leading cross-functional initiatives and influencing technical strategy across research, engineering, and product organizations.
Outstanding communication, collaboration, and stakeholder management skills.
Deep hands-on experience in Information Retrieval, Search Relevance, Semantic Search, Ranking, and Retrieval-Augmented Generation (RAG).
Experience with Large Language Models, Agentic AI frameworks, tool-using systems, and knowledge-based AI applications.
Experience with knowledge graphs, question answering, retrieval optimization, evaluation methodologies, and experimentation frameworks.
Production development using Python, PyTorch, Hugging Face, and modern MLOps practices.
A strong publication record in leading venues such as SIGIR, NeurIPS, ICLR, ACL, EMNLP, KDD, WWW, RecSys, or comparable conferences.
Experience building enterprise search, discovery, or research-assistance platforms.
Experience within Legal, Tax & Accounting, Risk, Financial Services, Healthcare, or other complex professional domains.
Experience with hybrid search, vector databases, recommendation systems, knowledge graphs, and large-scale retrieval platforms.
Experience deploying and operating AI solutions using Azure ML, Azure AI Foundry, AWS SageMaker, or similar cloud platforms.
Experience mentoring scientists and leading large-scale AI initiatives.

Skills

Information Retrieval
Search
NLP
Generative AI
Retrieval
Ranking
RAG
Agentic systems
Knowledge-based AI
Embeddings
Reranking
Hybrid search
Knowledge graphs
Contextual retrieval
Search Relevance
Semantic Search
Retrieval-Augmented Generation (RAG)
Large Language Models
Agentic AI frameworks
Tool-using systems
Question answering
Retrieval optimization
Evaluation methodologies
Experimentation frameworks
Python
PyTorch
Hugging Face
MLOps practices
Enterprise search
Discovery platforms
Research-assistance platforms
Vector databases
Recommendation systems
Azure ML
Azure AI Foundry
AWS SageMaker

Location

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

Work Type

Hybrid Work Model
work from anywhere for up to 8 weeks per year

Experience Level

8+ years of industry experience
Seniority details

Education Level

PhD in Computer Science, AI, Machine Learning, NLP, Information Retrieval, or a related field

Salary/Compensations

$212,100 USD - $393,900 USD

Benefits

Flexible vacation
Two 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
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
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.
Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
We're not riding the AI wave — we’re reshaping the future of professional work across law, tax, compliance, and journalism.
Here, you will collaborate with smart, ambitious people who thrive on solving complex problems, delivering market-leading solutions, and innovating with curiosity and care.

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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