{"id":108575,"url":"https://alion.io/job/thomson-reuters-senior-inference-engineer-ai","title":"Senior Inference 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":87,"open_postings":97,"ghost_share":0.041,"stale_share":0.33,"repost_share":0.134,"time_to_fill_p50_days":24,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","United States"],"countries":["CA","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":204200,"currency":"USD","period":"year","gross":null,"usd_annual":204200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CUDA","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TensorRT","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-07-22T00:00:00Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-25T12:51:46Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"Thomson Reuters is seeking a Senior Inference Engineer, AI. This person will collaborate with platform teams to enhance capacity forecasting for AI workloads and work with Product, Data Science, Architecture, and Enterprise AI teams to onboard new research models into production.\nAbout the Role\nAs a Senior Inference Engineer, AI, responsibilities include/you will:\nWithin Platform Engineeringand Enterprise AI Services, an AI Inference Engineer is responsible for productionizing, optimizing, and scaling AI and LLM workloads that power TR’s AI driven products. \nThis role ensures that our trained models-from classical ML to generative AI-run efficiently across TR’s multi cloud footprint (AWS, Azure, GCP, OCI), meet strict enterprise reliability requirements, and integrate seamlessly with our data backbone (Snowflake, OpenSearch vector search, API managed model routing).\nThe successful candidate will help build the next generation of TR’s AI infrastructure, working alongside cloud engineering, data engineering, product teams, and AI Services.\nOptimize LLMs and ML models for high-performance inference using techniques such as quantization, pruning, distillation, and hardware specific tuning \nDeploy and scale inference workloads on GPUs across AWS, Azure, GCP and internal Kubernetes clusters, ensuring predictable performance during peak traffic hours, especially during business hours\nImplement routing and failover strategies for OpenAI/Anthropic/Vertex AI traffic\nIntegrate models into production grade APIs supporting TR products and enterprise workflows. \nDevelop highly optimized environment and eliminate performance bottlenecks to reduce latency.\nCollaborate with Platform Engineering teams (Landing Zones, Network, Storage, Compute, AI) to ensure inference workloads align with TR’s cloud native patterns (AWS, Azure, GCP, OCI) \nBuild and optimize containerized inference pipelines using Kubernetes for large-scale distributed workloads\nEnsure compliance with TR’s AI standards for deployment, monitoring, governance, and drift detection\nProfile inference performance, identify GPU/CPU bottlenecks, and optimize compute utilization across heterogeneous hardware\nImplement observability and health monitoring for inference pipelines, ensuring reliability of enterprise AI services\nCollaborates closely with AI engineers to invent new quantization techniques, improve numerical precision, and explore non-standard architectures, and support the scale out of AI infrastructure during critical releases and global product rollouts\nPartner with Cloud Engineers (Azure, AWS, GCP) to develop guardrails and automation that support inference workloads\nAbout You\nYou are a potential fit for the role, Senior Inference Engineer, AI, if your background includes:\n5+ years of relevant experience\nStrong understanding of ML/LLM fundamentals and inference optimization techniques. \nHands-on experience with GPU programming (CUDA preferred), inference runtimes (TensorRT, ONNX \nRuntime), and deep learning frameworks (PyTorch/TensorFlow) \nProficiency in Python and at least one systems language (C++ strongly preferred for performance \ncritical inference paths)\nExperience deploying AI workloads to AWS/GCP/Azure and Kubernetes\nFamiliarity with vector search systems (OpenSearch vectors) and retrieval augmented generation pipelines\nKnowledge of distributed systems, microservices, CI/CD, and cloud native architecture\nNew Position: This position is open due to an existing vacancy to support our evolving business needs.What’s in it For You?\nHybrid 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.\n\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.\n\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.\n\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\nCulture: 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\nSocial 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\nMaking 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.\n\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\nFor any eligible US locations, unless otherwise noted, the base compensation range for this role is $110,000 USD - $204,200 USD.\nFor Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 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.\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. 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.\nThomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.\nLearn more on how to protect yourself from fraudulent job postings here.\nMore information about Thomson Reuters can be found on thomsonreuters.com","description_format":"text","description_chars":10687,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Continuous learning","Equity","Flexible schedule","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","News Agencies","Accounting & Tax Software","Legal Software"],"lifecycle":[{"event":"open","at":"2026-07-22T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 51 · green card filings: 1","filings_12m":51,"filings_prev_12m":46,"green_card_filings_12m":1,"median_offered_wage_usd":133846,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":32}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.442,"p_room":0.28,"age_days":96,"expected_fill_days":24,"reasons":["conf:17","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":204200,"is_top_pay":true},"html_url":"https://alion.io/job/thomson-reuters-senior-inference-engineer-ai","json_url":"https://alion.io/job/thomson-reuters-senior-inference-engineer-ai.json","meta":{"generated_at":"2026-10-26T08:06:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10707,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1951},"rest":"https://alion.io/mcp/rest/get_company?id=1951"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthomson-reuters-senior-inference-engineer-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthomson-reuters-senior-inference-engineer-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthomson-reuters-senior-inference-engineer-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/thomson-reuters-senior-inference-engineer-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthomson-reuters-senior-inference-engineer-ai"}]}