{"id":124838,"url":"https://alion.io/job/sanofi-ai-engineer","title":"AI Engineer","company":{"id":146,"name":"Sanofi","domain":"sanofi.com","url":"https://alion.io/company/sanofi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":114,"ghost_share":0,"stale_share":0.325,"repost_share":0.035,"time_to_fill_p50_days":14,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":76000,"max_usd":153000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon DocumentDB","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"Checkmarx","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"JavaScript","optional":false},{"name":"JFrog Artifactory","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"Pinecone","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SonarQube","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Thanos","optional":false},{"name":"Transformers","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-16T07:26:26Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Reference Number: R2868511\nPosition title: AI Engineer\nDepartment: Commercial Data Science\nLocation: Toronto,ON (Flexible working - 40% home office / week)\nAbout the job\nReady to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.\nAbout the Sanofi Digital:\nWe are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the centre of our ambitions.\nSanofi’s Digital organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed AI products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Toronto, Budapest and Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.\nWe are seeking a skilled AI Engineer to drive innovation and impact at the intersection of AI and Commercial operations. This role will be a part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of Sanofi Digital Organization.\nAbout Sanofi\nWe’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. \n Main Responsibilities:\nDesign, develop, deploy, and support scalable Generative AI and Agentic AI solutions aligned with strategic priorities across Sanofi's Global Business Units\n\nArchitect and implement Retrieval-Augmented Generation (RAG) solutions, multi-agent systems, and AI copilots leveraging enterprise data and knowledge assets\n\nCollaborate closely with product owners, business stakeholders, architects, data scientists, data engineers, and software engineers to deliver AI products that create measurable business value\n\nWork on prioritized impactful business use cases such as\n\nAgentic AI powered Market Research & Competitive Intelligence platform\n\nAutonomous agents for omnichannel engagement\n\nAI & GenAI driven transformation of market access and payer strategies\n\nConversational AI for data interactions and insights (Talk-to-data capabilities)\n\nDevelopment of unified platform of sales, marketers and MSL users powered by multi-agent systems\n\nEnhancing the patient journey through intelligent and personalized support\n\nDesign reusable AI components, frameworks, libraries, and services that accelerate enterprise AI solution development\n\nBuild and optimize agentic workflows, prompt engineering strategies, orchestration frameworks, and tool integrations to improve AI application performance and reliability\n\nDevelop and maintain production-ready code following AI engineering best practices, including testing, CI/CD, observability, and documentation standard\n\nContribute to the evolution of AI platform, and enterprise data foundation strategies\n\nMonitor, evaluate, and continuously improve AI application quality, performance, scalability, and user adoption\n\nEnsure AI solutions comply with Responsible AI, security, privacy, governance, and regulatory requirements\n\nStay current with emerging AI technologies, foundational models, frameworks, and engineering practices, and identify opportunities to incorporate innovations into existing products and platforms\n\nCommunicate technical concepts, architectural decisions, and solution outcomes effectively to both technical and business audiences\n\nMentor and coach junior AI engineers, software engineers, data scientists, and interns while fostering engineering excellence and knowledge sharing\n\nAbout you\n Required Qualifications:\nMaster's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related quantitative discipline\n\n3+ years of experience designing, building, and deploying AI/ML solutions in production environments, with at least 2+ years of hands-on experience developing GenAI, LLM, RAG, or Agentic AI applications\n\nStrong software engineering and programming skills in Python or Java or other enterprise programming languages SQL/NoSQL query, familiarity with Spark, REST APIs, Golang, NodeJS, Angular, Typescript etc.\n\nExperience developing AI applications using modern frameworks and libraries such as LangChain, LangGraph, Transformers, and vector database technologies\n\nStrong understanding of agentic AI architectures, multi-agent systems, prompt engineering, tool/function calling, workflow orchestration, and AI application evaluation frameworks\n\nProficiency working with structured, semi-structured, and unstructured data stored in enterprise platforms including Snowflake, Pinecone, object stores (e.g., Snowflake, AWS DocumentDB, S3, AWS RDS) or similar databases\n\nExperience developing and deploying production-grade AI applications with a focus on scalability, reliability, observability, security, and performance optimization\n\nUnderstanding of AI/ML lifecycle management, including model deployment, monitoring, evaluation, governance, and continuous improvement practices\n\nExperience working with cloud platforms such as AWS, or GCP, leveraging cloud-native AI, data, and application services\n\nExperience with containerization and modern engineering tools such as Docker, Kubernetes (AWS EKS/ECR/Eventbridge), CI/CD pipelines, and source control platforms (GitHub, DevOps)\n\nFamiliarity with DevOps tooling like SonarQube, Checkmarx, Artifactory, AWS CloudWatch, Datadog, Jfrog, Grafana, Thanos, Prometheus\n\nExperience integrating AI solutions with enterprise systems through REST APIs, microservices, and event-driven architectures\n\nKnowledge of regulatory, compliance and ethical considerations in AI/GenAI\n\nNice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence\n\nFunctional Skills:\nAbility to communicate complex AI, GenAI, and Agentic AI concepts effectively to both technical and non-technical stakeholders\n\nUnderstanding of end-to-end AI product development initiatives and collaborating across engineering, product, business, data, and platform teams\n\nAbility to define technical architecture, identify dependencies, manage risks, and resolve blockers across cross-functional Agile teams\n\nStrong problem-solving, systems-thinking, and solution design capabilities with a focus on delivering measurable business outcomes\n\nExperience mentoring junior AI engineers, data scientists, or technical team members\n\nExcellent written and verbal communication skills, including technical documentation, architecture reviews, and leadership-level presentations\n\nAbility to translate business requirements into scalable, maintainable, and production-ready AI solutionsExperience working in global, cross-functional, and multicultural teams within complex enterprise organizations\n\nNice to have professional certification such as AWS certified ML Engineer or SnowPro Data Scientist Certification\n\nAbility to thrive in a fast-paced, rapidly evolving AI landscape while managing multiple priorities and stakeholder expectations\n\nNice to have experience in Life Sciences, Healthcare, Commercial Operations, or regulated industries\n\nFluent in English; additional languages are a plus\n\nWhen joining our team, you will experience:\nAn international work environment, in which you can develop your talent and realize ideas and innovations within a competent team\n\nAn attractive, market-oriented salary and other benefits\n\nFlexible home office policy, with a possibility to work up to 40% of time from home / where you can easily schedule your office days\n\nCollective life and accident insurance\n\nEnjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact\n\nExposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others\n\nAn individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks\n\nYour professional and personal development will be supported purposefully\n\nWhy Choose Us?\nBring the miracles of science to life alongside a supportive, future-focused team.\n\nDiscover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.\n\nEnjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.\n\nTake good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.\n\nThis position is for a new vacant role that is now open for applications.\nAI Usage\n\"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyzedata and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identifypatterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regardingyour personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,Data Subject Rights Webform. TheData Subject Rights Webform can also be used torequest access or correction of your personal information and file a complaint.\nSanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retainhighly talentedemployees from diverse backgrounds, allowing us to benefitfrom a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities requiredduring the recruitment process are available upon request.\n#GD-SP \n#LI-SP\nPursue progress, discover extraordinary\nBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.\nAt Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.\nWatch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!\nNorth America Applicants Only\nThe salary range for this position is:\n100,500.00 - 150,...","description_format":"text","description_chars":12762,"description_truncated":true,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Home office","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Vaccines","Rare Disease Therapeutics","Immunology & Inflammation Therapeutics"],"lifecycle":[{"event":"open","at":"2026-08-26T00:00:00Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.347,"p_room":0.28,"age_days":51,"expected_fill_days":14,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sanofi-ai-engineer","json_url":"https://alion.io/job/sanofi-ai-engineer.json","meta":{"generated_at":"2026-10-16T11:59:11Z","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":11061,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":146},"rest":"https://alion.io/mcp/rest/get_company?id=146"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsanofi-ai-engineer"},{"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%2Fsanofi-ai-engineer"},{"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%2Fsanofi-ai-engineer"},{"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/sanofi-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsanofi-ai-engineer"}]}