{"id":1717864,"url":"https://alion.io/job/thomson-reuters-staff-software-engineer-ai-4","title":"Staff Software Engineer – AI","company":{"id":1951,"name":"Thomson Reuters","domain":"thomsonreuters.com","url":"https://alion.io/company/thomson-reuters","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":102,"ghost_share":0.059,"stale_share":0.353,"repost_share":0.176,"time_to_fill_p50_days":25,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Frisco, United States","New York, United States","Toronto, Canada","Ann Arbor, United States","United States"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":146800,"max":272600,"currency":"USD","period":"year","gross":null,"usd_annual":272600},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"ASP.NET Core","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Angular","optional":true},{"name":"Anthropic","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GitHub Actions","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Microsoft Orleans","optional":true},{"name":"OpenAI","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-29T05:13:36Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Job Description\nThomson Reuters products power the professionals shaping the world. Confirmation is the industry-leading audit confirmation platform, connecting audit firms, their clients, and thousands of responding institutions to securely verify balances and transactions with speed and certainty.\nAs a Staff Software Engineer - AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This role requires strong production C#/.NET engineering experience, along with Python experience for AI/ML development and integration.\nWe are looking for an engineer who has personally built and delivered AI features into production as part of enterprise software products. This is not a pure architecture, research, data science, or proof-of-concept role. You will remain deeply hands-on in the code while providing Staff-level technical leadership.\nYou will design and build C#/.NET backend and distributed systems and use Python to develop and integrate AI/ML capabilities, including large language model (LLM)-powered applications, AI agents, orchestration, retrieval, and document understanding. You will partner with Principal Engineers and cross-functional teams to establish AI engineering patterns, develop Model Context Protocol (MCP) servers and agent-based capabilities, and build reliable and scalable AI infrastructure.\nKey Responsibilities\nArchitect, develop, and deliver production backend and platform services using C#/.NET, PostgreSQL, AWS, microservices, and distributed-system patterns.\nBuild production AI/ML capabilities using Python, including LLM integration, AI agents, orchestration, retrieval, and multi-step AI workflows.\nLead hands-on AI engineering initiatives across product and infrastructure, including agent-based workflows, retrieval systems, and AI-assisted document processing.\nBuild and evolve AI orchestration capabilities, including routing, tool calling, MCP servers, multi-step workflows, safety controls, guardrails, evaluation, and resilient error handling around third-party LLMs.\nDesign reliable, scalable, high-throughput distributed systems and AI workloads, incorporating caching, queuing, rate limiting, model failover, observability, resilience, and cost/performance optimization.\nDevelop retrieval and data capabilities using document search, vector stores, embeddings, semantic search, and indexing strategies for large-scale audit and confirmation use cases.\nProvide hands-on Staff-level technical leadership by setting technical direction, influencing engineering standards, mentoring engineers, and continuing to personally design, code, build, and deliver production systems.\nRequired Qualifications\nBachelor’s degree in Computer Science, Computer Engineering, a related field, or equivalent professional experience.\n7+ years of progressive software engineering experience, including hands-on development, architecture, and delivery of large-scale production systems.\nStrong, recent, hands-on C#/.NET production development experience, including building backend services and APIs using C#/.NET and ASP.NET Core or similar technologies.\nHands-on Python experience for AI/ML system development, including model integration, AI orchestration, APIs, data pipelines, or comparable production use cases.\nDemonstrated experience personally building and delivering AI/ML features into production, including LLM-powered applications, AI agents, retrieval/RAG, orchestration, or comparable AI-native capabilities.\nStrong hands-on platform and distributed-systems engineering experience, including microservices, system integration, data modeling, REST or GraphQL APIs, relational databases, observability, resilience, scalability, and performance optimization.\nExperience implementing appropriate AI safety controls, guardrails, evaluation, reliability, and production operational practices.\nProven experience leading complex engineering initiatives from architecture and hands-on implementation through deployment, rollout, and long-term production operation.\nProven ability to operate as a hands-on Staff-level technical leader, providing technical direction and mentoring engineers while continuing to actively design, code, build, and deliver production software.\nStrong communication and cross-functional collaboration skills with the ability to partner effectively with engineering, product, design, user experience, research, and machine learning teams.\nCandidates must have hands-on production AI delivery experience. AI experience limited to personal projects, side projects, coursework, experimentation, or proof-of-concept work alone does not meet this requirement.\nPreferred Qualifications\nHands-on experience integrating LLM APIs such as OpenAI or Anthropic into production applications, including prompt and response management, cost controls, reliability, and safety considerations.\nExperience with vector databases, embeddings, semantic search, and custom retrieval pipelines.\nExperience designing automated testing, AI evaluation, reliability, and release practices for systems with non-deterministic model behavior.\nFamiliarity with actor-model architectures and frameworks, such as Microsoft Orleans or Akka, for resilient, message-driven distributed systems.\nExperience with AWS, containerized microservices using Docker and Kubernetes, and CI/CD pipelines such as GitHub Actions or similar technologies.\nExperience with modern JavaScript frameworks, particularly Angular and TypeScript.\nExperience working in industries where correctness, auditability, security, and regulatory compliance are important, such as financial technology, audit, tax, or legal technology.\nExperience interacting directly with customers and translating customer or business needs into scalable technical solutions.\n#LI-TH1\nThis posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.What’s in it For You?\nHybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.\nFlexibility & 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.\nCareer 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.\nIndustry 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.\n 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.\n 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. \n 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.\nOur use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.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.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.\n\nEligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD.\nFor any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD.\nFor Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.\n\nBase pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.\nThis role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.\n\nAbout Us\nThomson 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.\nWe 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.\nAs a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. 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