Lead strategy, roadmap, and execution for Agentic Search products, driving search quality, scaling AI Search, shaping Web Search API, and partnering across engineering, ML, product, and business teams.
Locations (5)
Austin, Texas, United States
Lisbon, Lisbon District, Portugal
San Francisco, California, United States
NYC, New York, United States
London, England, United Kingdom
Compensation
Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000. For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000. For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000.
Responsibilities
Own strategy, roadmap, and execution for Agentic Search
Define and measure search quality metrics
Scale AI Search for enterprise workloads
Shape Web Search API next features
Partner with engineering, ML, product, marketing, and sales
Requirements
Nice to have: Experience with search products
Nice to have: Experience with AI-native products
Nice to have: Experience with usage-based pricing
Nice to have: Experience with partner and business development
The Agentic AI Engineer is responsible for designing, building, and operating production-grade agentic systems that combine foundation models, software services, enterprise data, tools, and automation. The role focuses on system architecture, agent orchestration, model-agnostic AI integration, deterministic execution, and the engineering of secure and reliable platforms for complex multi-step workflows.
Compensation
– United States of America: Annual Salary USD 132,500 - 252,500 in Colorado // 143,000 - 290,500 in California // 126,500 - 290,500 in Georgia & North Carolina & Texas
Responsibilities
Design and develop scalable architectures for production-grade agentic AI systems.
Build agent orchestration, multi-agent workflows, state management, memory, tool integration, and human-in-the-loop capabilities.
Design reusable execution harnesses and services that separate AI reasoning and planning from deterministic execution.
Develop model-agnostic interfaces supporting multiple foundation models, providers, and inference platforms.
Build and integrate MCP servers, APIs, tool registries, skills, enterprise services, and data sources.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline, or equivalent practical experience
Nice to have: LLM-powered or agentic systems development
Nice to have: Reusable agent platforms, harnesses, or tool ecosystems
Nice to have: Cybersecurity automation or security-sensitive systems
Senior Machine Learning Engineer, Agentic Context Retrieval and Search (Nova)
Lead the design, build, and operation of a next‑generation search and retrieval platform for Thomson Reuters, enabling product teams and AI agents to consume high‑quality, customizable search services.
Design, build, and operate production-grade agentic AI systems that combine foundation models, software services, enterprise data, tools, and automation.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 132,500 - 252,500 in Colorado // 143,000 - 290,500 in California // 126,500 - 290,500 in Georgia & North Carolina & Texas
Responsibilities
Design and develop scalable architectures for production-grade agentic AI systems.
Build agent orchestration, multi-agent workflows, state management, memory, tool integration, and human-in-the-loop capabilities.
Design reusable execution harnesses and services that separate AI reasoning and planning from deterministic execution.
Develop model-agnostic interfaces supporting multiple foundation models, providers, and inference platforms.
Build and integrate MCP servers, APIs, tool registries, skills, enterprise services, and data sources.
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
Nice to have: Cybersecurity automation
Nice to have: Security-sensitive systems
Nice to have: Open-weight models
Nice to have: Commercial foundation-model platforms
The base compensation range for the role in any of those locations is $136,000 USD - $253,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD. For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD.
Responsibilities
Turn customer and product needs into platform capabilities
Design retrieval APIs and search services
Make retrieval customizable by design
Own content ingestion and indexing
Partner with research and applied science
Requirements
Bachelor's in Computer Science, Engineering, or related field
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