Lead Software Engineer, AI

Thomson Reuters is a global leader in providing trusted content and technology solutions. They are seeking a Lead Software Engineer specializing in AI to develop intelligent systems that enhance expert solutions across various domains. The role involves spearheading AI-driven software development, collaborating with teams to architect and scale solutions, and providing technical leadership.

Responsibilities:

• Spearhead the development of cutting-edge AI-powered solutions and driving technical strategy
• 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