{"id":3900589,"url":"https://alion.io/job/pfizer-senior-ai-research-engineer","title":"Senior AI Research Engineer","company":{"id":3480,"name":"Pfizer","domain":"pfizer.com","url":"https://alion.io/company/pfizer","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":88,"open_postings":28,"ghost_share":0,"stale_share":0.679,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-08T05:47:12Z"}},"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":["Bothell, United States","San Diego, United States","Cambridge, United States","New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":106000,"max":176600,"currency":"USD","period":"year","gross":null,"usd_annual":176600},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Accelerate","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"HPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JAX","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T12:50:17Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Help Build a New AI-Native Operating Model\nAt Pfizer, we're investing in the future of AI-enabled drug discovery.\nThis role is about more than using AI to improve existing ways of working. We are building a new operating model in which small, highly capable teams combine human expertise with AI to achieve outcomes and move at a pace that previously required much larger organizations.\nWe are looking for people who want to help invent and champion that model: individuals willing to rethink how work is organized, how problems are decomposed, what can be delegated to intelligent systems, and how humans and AI work together most effectively. Successful candidates will use AI not simply as a productivity tool, but as a means to fundamentally transform how scientific and technical work gets done-and will help others across R&D adopt these new ways of working.\nWhy This Role Is Different\nOwn Meaningful Problems\nYou'll own critical AI capabilities from architecture through production deployment. Rather than contributing to isolated components, you'll lead the design and delivery of end-to-end systems that directly enable scientific discovery.\nWork Where AI Meets Real-World Impact\nThe systems you build will support researchers tackling some of the toughest challenges in medicine, helping accelerate insights across discovery, development, and translational science.\nOperate at the Frontier of AI\nYou will work across technologies and domains including:\nLarge Language Models (LLMs)\nAgentic AI Systems\nMultimodal Learning\nScientific Machine Learning\nRetrieval-Augmented Generation (RAG)\nKnowledge Graphs\nDistributed Training and Inference\nAI Platforms and MLOps\nAI Evaluation and Benchmarking\nAccelerate Your Growth\nYou'll work alongside experts in AI, engineering, computational biology, and drug discovery while taking on increasing technical ownership and influence.\nBuild, Ship, Learn, Repeat\nWe value engineers who can move from ambiguity to execution, convert ideas into working systems, measure outcomes, and continuously improve based on real-world feedback.\nThe Opportunity\nAs a Senior AI Research Engineer, you will build the machine learning systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.\nYou will:\nOwn an end-to-end subsystem, platform capability, or workflow\nMake sound architecture and design tradeoff decisions\nDeliver production-quality software and AI solutions\nDrive technical execution for complex projects\nInfluence engineering standards and best practices\nHelp less-experienced engineers grow through collaboration, code reviews, and technical coaching\nSuccess in this role requires strong engineering fundamentals, demonstrated experience delivering production systems, and the ability to operate effectively in an environment where science, technology, and business impact intersect.\nWhat You'll Do\nBuild the AI Systems Behind Tomorrow's Scientific Breakthroughs\nDesign, develop, and deploy production-grade AI systems supporting multimodal biomedical models and intelligent agents\nEngineer data pipelines, retrieval systems, evaluation frameworks, knowledge systems, inference services, and human-in-the-loop workflows\nCreate scalable software that enables AI capabilities to move beyond experimentation and into everyday scientific use\nOwn End-to-End Technical Delivery\nTranslate scientific and business needs into technical solutions\nLead architecture, implementation, testing, deployment, monitoring, and continuous improvement for your area of ownership\nDrive projects from concept through production and operational support\nTurn Research Into Impact\nPartner closely with AI scientists, computational biologists, data engineers, and platform teams\nTransform promising prototypes into reusable, reliable, and maintainable systems\nDevelop solutions with clear interfaces, measurable performance, and long-term sustainability\nMake Thoughtful Engineering Tradeoffs\nBalance performance, scalability, cost, reliability, security, privacy, maintainability, and speed of delivery\nApply sound engineering judgment when evaluating technical approaches and system architecture decisions\nBuild Trusted and Responsible AI\nStrengthen model evaluation, observability, reproducibility, lineage, security, and operational resilience\nImplement practices that support responsible and trustworthy AI deployment within scientific environments\nRaise the Engineering Bar\nContribute to architecture reviews, code reviews, engineering standards, and reusable technical patterns\nTroubleshoot complex problems and improve engineering quality across the organization\nProvide guidance and support to less-experienced engineers through collaboration and mentorship\nDeliver Measurable Outcomes\nDefine success metrics and operational indicators\nContinuously improve performance, reliability, usability, and scientific impact\nHelp teams adopt AI with confidence and scale\nWhat Makes You a Strong Fit\nEducation & Experience\nPhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical discipline with demonstrated experience building software, systems, or machine learning solutions; OR\nMaster's degree with 2+ years of relevant experience; OR\nBachelor's degree with 4+ years of relevant experience\nTechnical Expertise\nYou have demonstrated experience:\nDesigning and delivering production software or machine learning systems\nOwning technical solutions from architecture through deployment\nBuilding reliable systems in cloud, distributed computing, or HPC environments\nDeveloping maintainable, testable, and scalable software\nEngineering Proficiency\nYou bring strong proficiency in:\nPython software development\nModern machine learning frameworks such as PyTorch or JAX\nSoftware architecture and system design\nAPIs, testing, debugging, version control, and technical documentation\nContainers, orchestration, CI/CD, and deployment workflows\nYou have depth in one or more of the following areas:\nDistributed GPU training\nModel serving and inference optimization\nAI platforms and MLOps\nData and knowledge systems\nLLM and agentic architectures\nRetrieval systems and RAG\nAI evaluation frameworks\nPerformance and infrastructure optimization\nCollaboration & Leadership\nYou have a proven ability to:\nWork effectively across interdisciplinary teams\nNavigate ambiguity and solve complex problems\nCommunicate technical concepts to broad audiences\nInfluence decisions through expertise and execution\nSupport and develop less-experienced teammates\nPreferred Qualifications\nExperience in life sciences, healthcare, biotechnology, or highly regulated industries\nExperience with multimodal AI, scientific machine learning, computational biology, or cheminformatics\nExperience implementing responsible AI practices, evaluation frameworks, and governance controls\nEvidence of technical impact through deployed systems, publications, patents, open-source contributions, or reusable engineering platforms\nHow You'll Succeed\nThe most successful engineers in this role:\nTake ownership and consistently deliver\nBalance innovation with engineering discipline\nEmbrace difficult technical challenges\nLearn quickly and continuously\nBuild trust through execution and collaboration\nHelp elevate the capabilities of the broader team\nStay focused on outcomes and scientific impact\nWhy Pfizer\nAI is becoming a foundational capability across Pfizer's R&D organization.\nWe are building an environment where exceptional engineers can tackle technically ambitious challenges, work with world-class scientific experts, and contribute to innovations that have the potential to improve lives around the world.\nHere, you'll find:\nMeaningful ownership\nComplex technical challenges\nExceptional collaborators\nSignificant opportunities for growth\nThe ability to build AI with real-world impact\nIf you want to build production AI at scale while helping shape the future of scientific discovery, this is an opportunity to do the most meaningful work of your career.\nWork Location Assignment\nThis is a hybrid role requiring colleagues to live within commuting distance of a Pfizer location and work on-site an average of 2.5 days per week.\nThe annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.\nThis role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.\n\nRelocation assistance may be available based on business needs and/or eligibility.\nCandidates must be authorized to be employed in the U.S. by any employer.\nU.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.\nSunshine Act\nPfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.\nEEO & Employment Eligibility\nPfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.\nPfizer endeavors to makewww.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.\nTo learn more about acceptable and prohibited uses of AI...","description_format":"text","description_chars":12135,"description_truncated":true,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Prescription Drugs","Oncology Therapeutics","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-07T00:38:34Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":115,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 47 · green card filings: 2","filings_12m":47,"filings_prev_12m":91,"green_card_filings_12m":2,"median_offered_wage_usd":127296,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+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)","Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":4}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":13,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":176600,"is_top_pay":false},"html_url":"https://alion.io/job/pfizer-senior-ai-research-engineer","json_url":"https://alion.io/job/pfizer-senior-ai-research-engineer.json","meta":{"generated_at":"2026-11-09T01:14:32Z","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":2718,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":3480},"rest":"https://alion.io/mcp/rest/get_company?id=3480"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpfizer-senior-ai-research-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fpfizer-senior-ai-research-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fpfizer-senior-ai-research-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/pfizer-senior-ai-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpfizer-senior-ai-research-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3900589}},{"tool":"search_jobs","arguments":{"company":"pfizer.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3900589},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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