Staff Software Engineer - AI

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 skills, and ability to operate effectively in complex, fast-paced environments.

• Outstanding communication and presentation skills with experience influencing senior stakeholders

• Experience leading teams in building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs from providers like OpenAI, Anthropic, and others.

• Advanced knowledge of vector databases, embeddings, semantic search, andinformation retrieval systems.

• Domain expertise in legal, tax, accounting, or other regulated industries.

• Track record of successful AI product launches and scaling AI systems to enterprise customers.

• Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development.

• Experience with AI governance, model risk management, and regulatory compliance.

• Publications, patents, or speaking experience in AI/ML domains