Job Description

Thomson Reuters is expanding its Data Science and AI organization and is looking for a Manager to lead a team building intelligent products and automation. You will own the full lifecycle of ML and GenAI solutions, from problem framing to production deployment and operation. The work spans traditional machine learning and contemporary GenAI systems, including LLM applications, RAG, agents, and multi-agent platforms. You will set technical direction, develop your team, and partner with business stakeholders to deliver measurable impact.

Key Responsibilities

Production deployment and delivery
• Own end-to-end delivery of ML and GenAI solutions from prototype to monitored production systems.
• Establish MLOps and LLMOps practices: CI/CD, versioning, testing, observability, drift detection, and cost monitoring.
• Define evaluation frameworks for both classical models and LLM/agent systems, covering accuracy, groundedness, safety, and regression testing.

Technical platform ownership
• Own the architecture, roadmap, and operations of the team's AI platform,



including model serving, vector stores, retrieval pipelines, and orchestration layers.
• Build reusable agentic capabilities (tools, skills, workflow templates, evaluation harnesses) for adoption across teams and products.
• Lead build-versus-buy decisions across models, frameworks, and cloud services.

Technical thought leadership
• Set direction for agentic AI, RAG, and multi-agent orchestration, and define architecture patterns and standards.
• Evaluate emerging models, frameworks, and protocols (e.g., MCP) and translate them into practical adoption.
• Champion responsible AI, security, and governance in all solutions.

Coaching and mentoring
• Lead, coach, and grow data scientists and AI engineers through feedback, code and design reviews, and career development.
• Build a culture of rigor, experimentation, and ownership.
• Hire, onboard, and retain robust talent.

Stakeholder partnership
• Partner wi

📌 Manager, Data Science Hyderabad (India)
🏢 Thomson Reuters
📍 India