Senior Software Engineer AI

Thomson ReutersFrisco, TX
$110,000 - $204,200Hybrid

About The Position

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Senior 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 Senior Software Engineer – AI, you will play a key role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains. About The Role: As a Senior Software Engineer – AI, you will collaborate with a cross-functional team of product managers, UX designers, and engineers to design, build, and deliver AI-powered solutions.

Requirements

  • Bachelor's degree in computer science or equivalent experience
  • 5+ years of experience in software engineering; at least 2 years focused on AI/ML
  • Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow)
  • Strong understanding of machine learning principles, evaluation, and system design
  • Knowledge of MLOps and the end-to-end lifecycle of AI-powered software applications
  • Experience integrating AI models into production systems using APIs and data pipelines
  • Experience consuming and building REST APIs, including authentication flows (OAuth, M2M, SSO) and enterprise security/ISRM review processes.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
  • Excellent problem-solving skills and ability to work independently in a fast-paced environment
  • Strong communication skills and experience working in cross-functional teams
  • Strong prompt engineering skills with the ability to design, iterate, and optimize LLM prompts for specialized domain tasks.
  • JD or legal background, or equivalent experience working directly within or alongside legal teams.

Nice To Haves

  • Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic.
  • Knowledge of vector databases, embeddings, or search-based AI.
  • Domain knowledge in legal, tax, or accounting
  • A portfolio of projects demonstrating creativity and skill building solutions with LLMs
  • Experience with legal AI platforms (e.g., CoCounsel, Harvey, Ironclad, Kira, or similar).
  • Experience building or configuring contract review, NDA triage, or playbook-driven review systems.
  • JavaScript proficiency; experience with HTML/CSS or front-end tooling is a plus.
  • Comfort presenting at conferences, client workshops, or internal knowledge-sharing sessions.

Responsibilities

  • Build AI-Driven Systems: Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning.
  • Integrate AI models into production software through robust APIs and scalable data pipelines.
  • Adapt AI models and techniques to specialized domains, tailoring solutions for expert systems in areas such as legal, tax, and compliance.
  • Design and deploy AI-powered workflows and integrations tailored to customer use cases, including bespoke automation pipelines and integration scripts.
  • Proficiently work with document file formats including PDF, .docx, .csv, and .xlsx as part of data ingestion and processing pipelines.
  • Innovate: Evaluate and prototype cutting-edge AI techniques to solve business challenges Conduct proof-of-concept projects for new AI-driven features Stay current with AI research and emerging technologies Apply prompt engineering and workflow optimization techniques to improve output quality and reliability across diverse document types and legal use cases.
  • Develop familiarity with hallucination detection techniques, citation generation, and multi-round validation workflows for AI outputs in high-stakes domains.
  • Provide Technical Leadership: Break down functional requirements into scalable technical specifications Mentor junior engineers and facilitate technical discussions Contribute to MLOps and LLMOps practices, both in design and implementation Act as a thought leader, sharing expertise in company-wide forums and representing the organization in emerging technology areas Translate customer feedback and field insights into structured input for product roadmap and engineering priorities.
  • Contribute to internal documentation, reusable solution templates, and team knowledge-sharing.
  • Ensure Quality & Operations: Implement comprehensive testing frameworks and monitoring systems for AI model performance Ensure compliance with ethical AI principles and security standards Conduct systems analysis and recommend operational improvements Validate new capabilities against real-world legal workflows in collaboration with internal legal teams and external partners.
  • Collaborate Across Functions: Work closely with AI researchers, engineers, designers and product teams to translate AI capabilities into real-world applications.
  • Optimize AI system performance considering factors like latency and resource usage Support application feature enhancements through AI capabilities Operate fluently across technical and non-technical audiences, translating complex requirements into engineering specifications and communicating technical capabilities as clear strategic value.
  • Support pre-sales and business development efforts through technical demonstrations, use case scoping, and early-stage prototyping.

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.
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