Staff Software Engineer - AI I

Staff Software Engineer- AI​

Are you passionate about building AI-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a globalleader. As a Staff Software Engineer – AI, you will play a lead role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.​

About The Role​

As a Staff Software Engineer – AI, you will:

• You will spearhead the development of cutting-edge AI-powered solutions and driving technical strategy. You will collaborate with senior stakeholders, product leadership, and cross-functional teams to architect, build, and scale enterprise-grade AI systems that transform how our organization delivers value to customers.​

• 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 software through robust APIs, distributed data pipelines, and microservices architectures.
• Lead the adaptation and customization of AI models for specialized domains, driving innovation in expert systems for legal, tax, fraud and compliance.

• Define technical standards and best practices for AI system architecture across the organization​​

• Lead evaluation and strategic adoption of cutting-edge AI techniques to solve complex business challenges.
• 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 the organization’s position in emerging AI technology areas​​

• Lead technical architecture decisions and translate high-level business requirements into comprehensive, scalable technical specifications.
• Mentor a team of senior and junior Software engineers, fostering technical growth and career development.
• Champion MLOps and LLMOps practices across the organization, leading both design and implementation initiatives.

• Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences and events​.​

• Design and implement comprehensive testing frameworks, monitoring systems, and observability solutions for AI model performance at scale.
• Lead compliance initiatives ensuring adherence to ethical AI principles, security standards, and regulatory requirements.
• Conduct advanced systems analysis and drive operational improvements across AI infrastructure.

• Establish governance frameworks for AI model lifecycle management​​

• Partner with AI researchers, senior engineering leadership, design, and product teams to translate AI capabilities into market-leading applications.
• Drive optimization of AI system performance across multiple dimensions including latency, resource usage, cost efficiency, and user experience.
• Lead strategic initiatives for application feature enhancements through advanced AI capabilities.
• Influence product strategy through deep technical expertise and market understanding.​

About You​

You are a fit for the position of Staff Software Engineer - AI if your background includes:​​

• 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 thecomplete lifecycle of enterprise AI-powered applications.
• Demonstrated expertise 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 ski…