Lead Software Engineer

Lead 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 global leader. 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 Spearhead the development of cutting‑edge AI‑powered solutions and drive 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. Build & Architect AI‑Driven Systems 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. Drive Innovation & Technical Strategy 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. Provide Senior Technical Leadership 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. Ensure Quality, Security & Operational Excellence 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. Lead Cross‑Functional Collaboration 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 Required Skills and Experience 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. Experience with Generative AI, RAG, LLM. Experience in leading solution discovery for planning and teams, architecture, agentic tools, evaluations, deployment, lifecycle of solution, metrics. Expert‑level proficiency in Python and extensive experience with AI/ML frameworks such as 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 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. Preferred Qualifications Experience leading teams in building AI‑driven systems, agent‑based architectures, or enterprise integrations with AI APIs from providers such as OpenAI, Anthropic, and others. Advanced knowledge of vector databases, embeddings, semantic search, and information 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. What’s in it for You Hybrid Work Model: Flexible hybrid working environment (2‑3 days a week in the office depending on role) with seamless digital‑physical connectivity. Flexibility & Work‑Life Balance: Flexible work arrangements, up to 8 weeks remote per year, and supportive workplace policies. Career Development and Growth: Continuous learning, skill development, and growth opportunities. Industry‑Competitive Benefits: Flexible vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, incentive programs, and resources for wellbeing. Culture: Inclusion, belonging, flexibility, work‑life balance, and values such as Obsess over Customers, Compete to Win, Challenge Thinking, Act Fast, Learn Fast, and Stronger Together. Social Impact: 2 paid volunteer days per year, pro‑bono consulting projects, ESG initiatives. Making a Real‑World Impact: Helping customers pursue justice, truth, and transparency through advanced data and intelligence. About Us Thomson Reuters informs the way forward by bringing together trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media, with products that combine specialized software and insights to empower informed decisions. We are powered by 26,000 employees across more than 70 countries, committed to diversity and inclusion. Thomson Reuters is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment, without regard to race, color, religion, gender, sexual orientation, disability, or any other protected class. We also make reasonable accommodations for qualified individuals with disabilities and sincerely held religious beliefs in accordance with applicable law. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries Financial Services, Legal Services, IT Services and IT Consulting #J-18808-Ljbffr