Staff Software Engineer, AI

We are seeking a highly skilled Senior Applied Scientist II to join our Document AI 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 organizations AI thought leadership.

• 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.

• PhD in Computer Science Artificial Intelligence Machine Learning Natural Language Processing Information Retrieval or a related field; OR a Masters 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.

• 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.

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Whats in it For You

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.

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