Lead Software Engineer, AI

Thomson Reuters • Eagan, MN

1d • Hybrid

About The Position

Are you ready to shape the future of AI-driven content technology while leading cutting-edge innovation in a mission-critical role? Do you thrive in environments where your technical expertise can directly impact how the world's leading professionals access and utilize information? We are seeking a talented, self-driven and highly motivated Lead Software Engineer, AI to join the Public Records Publishing and Derived Authorities team. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of publishing processes, working at the forefront of our mission to become the world's #1 content-driven AI tech company. You will work closely with Product Management, Technology and our Labs teams to enable our customers to build successful AI-driven features and products to take their business to the next level. This is an exceptional opportunity to grow your Product Engineering career while working with cutting-edge LLM technologies and leading a dynamic team of engineers. About the Role In this opportunity as Lead Software Engineer, AI, you will: Drive AI Innovation & Technical Vision: Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products, staying abreast of the latest advancements in AI/ML, deep learning, and LLM technologies Lead AI/ML Model Development: Lead the development and deployment of AI models, including designing, developing, and optimizing scalable data pipelines for training, fine-tuning, and evaluating AI/ML models with focus on efficiency, scalability, and maintainability Provide Technical Leadership: Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies while providing hands-on technical guidance, mentorship, and code reviews to foster a culture of excellence Architect Advanced AI Systems: Design and implement sophisticated AI/ML systems including LLM architectures (Transformers, foundation models) for natural language understanding, generation, summarization, and question answering, along with Information Retrieval systems such as RAG Collaborate on Product Development: Participate in project planning sessions to analyze requirements and collaborate with capability/product owners, translating technical requirements into application code and modules while ensuring consistency with cloud architectural principles Drive Engineering Excellence: Approach development with a DevOps and continuous integration mindset, writing clean, well-tested, and maintainable code while developing RESTful APIs and microservices to expose AI/ML capabilities Ensure Production Quality: Implement robust monitoring, logging, and alerting for AI/ML models in production, optimize model inference for speed and efficiency, and ensure responsible AI practices including bias detection, fairness, privacy, and explain ability.

Requirements

• 8+ years of software engineering experience with 5+ years focused on AI/ML development, including hands-on experience with LLM architectures, transformers, and foundation models
• Technical Expertise: Strong proficiency in Python and AI/ML frameworks, with deep understanding of natural language processing, prompt engineering techniques, and Information Retrieval systems (RAG)
• Engineering Excellence: Proven track record of designing and implementing scalable data pipelines, RESTful APIs, and microservices with experience in DevOps, continuous integration, and cloud architectural principles
• Leadership & Mentorship: Demonstrated ability to lead technical teams, provide mentorship, conduct code reviews, and define best practices for software development and MLOps
• Product Development Experience: Experience working in agile environments with cross-functional teams including product managers and applied scientists, translating business requirements into technical specifications
• Production AI Systems: Hands-on experience deploying, monitoring, and maintaining AI/ML models in production environments with focus on performance optimization and responsible AI practices
• Education: Bachelor's degree in Computer Science, Engineering, Machine Learning, or related field, or equivalent professional experience

Nice To Haves

• Advanced degree (Master's/PhD) in AI, Machine Learning, Computer Science, or related field
• Cloud platforms - AWS/Azure
• Experience with specific AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers)
• Knowledge of MLOps tools and practices for model deployment and monitoring
• Experience in tax, trade, or legal domain applications
• Publications or contributions to AI/ML research or open-source projects

Responsibilities

• Drive AI Innovation & Technical Vision: Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products, staying abreast of the latest advancements in AI/ML, deep learning, and LLM technologies
• Lead AI/ML Model Development: Lead the development and deployment of AI models, including designing, developing, and optimizing scalable data pipelines for training, fine-tuning, and evaluating AI/ML models with focus on efficiency, scalability, and maintainability
• Provide Technical Leadership: Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies while providing hands-on technical guidance, mentorship, and code reviews to foster a culture of excellence
• Architect Advanced AI Systems: Design and implement sophisticated AI/ML systems including LLM architectures (Transformers, foundation models) for natural language understanding, generation, summarization, and question answering, along with Information Retrieval systems such as RAG
• Collaborate on Product Development: Participate in project planning sessions to analyze requirements and collaborate with capability/product owners, translating technical requirements into application code and modules while ensuring consistency with cloud architectural principles
• Drive Engineering Excellence: Approach development with a DevOps and continuous integration mindset, writing clean, well-tested, and maintainable code while developing RESTful APIs and microservices to expose AI/ML capabilities
• Ensure Production Quality: Implement robust monitoring, logging, and alerting for AI/ML models in production, optimize model inference for speed and efficiency, and ensure responsible AI practices including bias detection, fairness, privacy, and explain ability.

Benefits

• 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. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• 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. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• 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. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• 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.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
• In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level