Lead AI Engineer – AI System, AI Frameworks, APIs

Thomson Reuters

Lead AI Engineer at Thomson Reuters, designing and delivering innovative AI solutions driving business transformation. Collaborate with cross-functional teams to implement complex AI systems and strategies.

Posted 6/2/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMicroservicesPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

As a Staff Software Engineer (AI), you will lead the design and delivery of innovative AI solutions, driving technical strategy and embedding within business units to reimagine processes and accelerate TR’s AI-first transformation.
Design and lead the implementation of complex, enterprise-scale AI systems, including sophisticated multi-component pipelines, advanced retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning capabilities.
Architect scalable AI model integration strategies for production-ready prototypes using robust APIs, distributed data pipelines, and microservices architectures.
Lead the adaptation and customization of AI models for specialized internal domains, driving innovation in business process transformation.
Define technical standards and best practices for rapid prototyping and solution discovery.
Contribute directly to hands-on delivery, leveraging AI development tools to rapidly build and iterate on the systems you design.
Lead evaluation and strategic adoption of cutting-edge AI techniques to solve complex business challenges for internal teams.
Oversee proof-of-concept projects and guide technical feasibility assessments for new AI-driven features.
Stay at the forefront of AI research and emerging technologies, translating insights into actionable technical roadmaps.
Drive innovation initiatives and establish TR’s position in emerging AI technology areas.
Provide Senior Technical Leadership by leading technical architecture decisions and translating high-level business requirements into comprehensive, scalable technical specifications.
Foster technical growth and career development of the team and champion MLOps and LLMOps practices in the prototyping and delivery phases.
Embed directly with prioritized business units to develop deep domain expertise and build stakeholder relationships.

Requirements

What you’ll need

Bachelor’s degree in computer science, engineering, or equivalent experience; Master’s degree preferred.
8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML.
Expert-level proficiency in Python and extensive experience with AI/ML frameworks ( PyTorch , TensorFlow, JAX).
Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design.
Proven experience with MLOps / LLMOps and managing the complete lifecycle of enterprise AI-powered applications.
Demonstrated expertise in integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures.
Advanced experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform).
Strong leadership experience driving technical initiatives.
Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments.
Outstanding communication and presentation skills with experience influencing senior stakeholders.

Benefits

Comp & perks

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.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

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Hard Skills & Tools

PythonAI/ML frameworksPyTorchTensorFlowJAXMLOpsLLMOpsdistributed system designcloud-native architecturesmachine learning principles

Soft Skills

leadershipstrategic thinkingproblem-solvingcommunicationpresentation skillsstakeholder managementtechnical growthinnovationteam developmentadaptability

Certifications

Bachelor’s degree in computer scienceBachelor’s degree in engineeringMaster’s degree in computer scienceMaster’s degree in engineering