Staff Software Engineer, AI

Job Description We are seeking a highly skilled Senior Applied Scientist II to join our Document AI team. In this role, you will drive innovation in document intelligence by developing advanced AI solutions for document classification, information extraction, reasoning, and automation. You will lead applied research initiatives focused on Large Language Models (LLMs), benchmarking, grounding, AI agents, and reasoning enhancement to solve complex real-world business challenges. As a senior member of the team, you will work closely with product, engineering, and business stakeholders to transform cutting-edge research into scalable, production-ready solutions while mentoring junior scientists and contributing to the organization's AI thought leadership. Key Responsibilities Lead the research, design, and development of innovative AI capabilities for Document AI solutions, including document classification, information extraction, and advanced reasoning. Drive applied research initiatives in areas such as LLM benchmarking, grounding, agent-based systems, retrieval-augmented generation (RAG), and reasoning improvement. Design, build, evaluate, and deploy state-of-the-art NLP, Information Retrieval (IR), and document processing models for real-world applications. Collaborate with engineering teams, product managers, and business stakeholders to translate complex business challenges into impactful AI-driven solutions. Develop scalable, production-quality AI systems and ensure best practices in software engineering, experimentation, and model deployment. Mentor and guide junior scientists and researchers, fostering a culture of innovation, collaboration, and continuous learning. Communicate research findings, technical recommendations, and project outcomes to both technical and non-technical audiences. Contribute to intellectual property development through patents, technical publications, and conference presentations. Stay current with advancements in AI, machine learning, NLP, and LLM technologies, bringing innovative ideas into the product development lifecycle. Required Qualifications PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, or a related field; OR a Master's degree with equivalent industry experience. 7 to 10 years of hands-on experience developing and deploying NLP, Information Retrieval, Document AI, or Intelligent Document Processing solutions in commercial environments. Strong experience building AI-powered applications using Large Language Models (LLMs) and modern machine learning techniques. Proven expertise in solving complex business problems through applied AI research and production-grade implementations. Strong software engineering skills with experience writing, testing, and deploying high-quality production code. Experience leading technical initiatives and influencing outcomes through cross-functional collaboration. Demonstrated success in mentoring team members and driving technical excellence within research or applied science teams. Excellent analytical, problem-solving, communication, and stakeholder management skills. Experience working in agile environments and collaborating effectively with Product, Engineering, and business teams. Preferred Qualifications Publications in leading AI, NLP, Machine Learning, or Information Retrieval conferences, including ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues. Experience with LLM evaluation frameworks, AI agents, grounding techniques, retrieval-augmented generation (RAG), and reasoning optimization. Track record of patents, research contributions, or industry-recognized innovations in AI and machine learning. Experience deploying large-scale AI systems in cloud environments and optimizing models for enterprise applications. Strong understanding of emerging trends in Generative AI, foundation models, and advanced document intelligence technologies. Experience leading end-to-end research programs from ideation through production deployment. #LI-HG1 What’s in it For You? 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. About Us Thomson Reuters informs the way forward by bringing together the 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. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.