Pfizer has 19 active AI-related job listings. The majority of these roles are focused on agents, accounting for 32% of the openings, followed by data roles at 26%. Engineering is the most frequent function, with 14 positions. The company is actively hiring for roles involving agent orchestration, model serving, and RAG. Over the last 30 days, Pfizer posted 45 new AI roles.
Currently tracking 10 active AI roles, down 57% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$358k (avg $176k).
Pfizer currently has 18 active AI-related roles in our index. The most common open titles are: Clinical Development Scientist, Director (Inflammation and Immunology) (2), AI Data Engineer--LLMs / Agentic Systems, AI/ML Engineer - Vaccine Research, Business Title Senior Scientist, Sterile Injectables Design, Director of AI Engineering – Vaccine R&D Operations Enablement. Most positions are in Engineering and Product.
Pfizer's active AI hiring is concentrated in: application (44%), agents (28%), post-training (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Pfizer is hiring AI talent in: United States (13 roles), China (2 roles), Spain (1 role), India (1 role).
Job postings at Pfizer most frequently reference: llm observability, model serving, rag, agent orchestration, fine tuning.
In the past 30 days, Pfizer has posted 24 new AI-related roles. That is a -27% change versus the prior 30 days (33 → 24).
| Title | Stage | AI score |
|---|---|---|
| Senior Director, Applied AI - US Commercial Senior Director, Applied AI role focused on enterprise strategy, system-level architecture, and leading teams to deliver AI solutions at scale. The role requires shaping AI strategy, designing operating models, and ensuring coherence across initiatives, with a hands-on technical component in modern AI and agent frameworks. It emphasizes translating technological possibilities into business value and maintaining quality and security standards. | AgentServe | 8 |
| Director, AI Solutions Expert—Agent Developer, AIA Lead the design, development, and deployment of AI agents for enterprise workflow automation, decision enhancement, and intelligent user interactions, focusing on multi-agent frameworks, scalability, ethics, and performance. This role involves architectural design, implementation using cloud infrastructure and MLOps, and operational excellence with a focus on collaboration and innovation. |
| Agent |
| 8 |
| PharmSci Agentic and Generative AI Architect This role is for a hands-on technical leader responsible for designing, building, and scaling agentic and generative AI solutions in the pharmaceutical sciences. The architect will translate ideas into production-ready AI systems, focusing on agentic AI systems with multi-step reasoning and tool use, as well as enterprise-grade GenAI solutions including RAG, orchestration, and evaluation. They will lead pilots, scale solutions, establish architectural patterns, ensure reliability and performance, integrate with existing systems, and mentor team members. Responsible AI practices, governance, security, and monitoring are also key aspects of the role. | Agent | 8 |
| Senior Scientist, Computational Biotherapeutics Engineering Senior Scientist role at Pfizer focused on computational AI/ML methods for biotherapeutics discovery and engineering. The role involves implementing, evaluating, and applying AI/ML models for protein modeling, representation learning, and generative design, with a focus on antibody developability and optimization. Requires expertise in Python, ML libraries, and biological datasets, with a strong understanding of protein structure and model evaluation. | Post-train | 8 |
| Director, AI Engineering--Clinical Development and Operations (CD&O) This role focuses on designing, building, and deploying production-grade AI systems, particularly LLMs and agentic AI, for clinical development and operations within a regulated healthcare environment. It involves developing predictive models, engineering robust ML pipelines, and implementing agentic solutions, with a strong emphasis on MLOps and cloud deployment. | AgentServe | 8 |
| Postdoctoral Fellow – AI-Driven Multi-Omics Integration for Predictive Toxicology Seeking a Postdoctoral Fellow to apply foundation models and machine learning to integrate multi-omics data for predictive toxicology in drug safety research. The role involves benchmarking models, developing AI pipelines, and identifying novel biomarkers to predict human toxicity from preclinical data, with a focus on generating peer-reviewed publications and potentially open-source tools. | Post-train | 8 |
| Postdoctoral Fellow – AI-Driven Multi-Omics Integration for Predictive Toxicology Pfizer is seeking a Postdoctoral Fellow to apply foundation models and machine learning to integrate multi-omics data for predictive toxicology. The role involves benchmarking models, building AI pipelines to connect omics readouts to pathology, and identifying biomarkers for drug safety. The goal is to improve cross-species prediction of human toxicity risks from preclinical data, supporting drug development decisions. The position emphasizes scientific contributions through publications and potentially open-source tools. | Post-train | 8 |
| Postdoctoral Fellow – AI/ML Enabled Bioprocess Modeling and Control Seeking a Postdoctoral Fellow to develop AI/ML enabled bioprocess models and control strategies for recombinant protein production. The role involves creating hybrid mechanistic-data driven models, integrating omics data, applying ML/DL for prediction, and exploring agentic AI for model orchestration and transfer learning. Responsibilities include designing experiments, implementing model predictive control, validating models, and communicating results. | DataAgent | 8 |
| Head, AI Delivery & Enablement (AIDE), Director This role leads the strategy and technical direction for applied AI in Inflammation & Immunology at Pfizer, focusing on translating advances in LLMs, agentic systems, and multimodal AI into reusable capabilities. The position involves shaping the AI portfolio, defining governance and evaluation standards, managing external partnerships, and driving AI adoption across scientific decision-making processes. It requires a technically credible leader with strong scientific judgment to ensure solutions are robust, trusted, and improve the speed and quality of evidence generation. | AgentEval Gate | 8 |
| Sr. Manager, AI Solutions Expert—Agent Developer Senior Manager role focused on designing, developing, and deploying AI agents for enterprise workflow automation, decision enhancement, and intelligent user interactions. Requires experience with agentic orchestration frameworks, vector databases, RAG, and LLM principles, along with leadership in managing technical teams and delivering enterprise-scale projects. | Agent | 8 |
| Senior Director, Applied Intelligence Lead a team focused on rapidly determining the solvability of ambiguous AI/ML problems for commercial use cases in a regulated pharmaceutical environment. The role involves hands-on technical leadership, rapid prototyping (2-6 week cycles), enforcing engineering excellence, and guiding the adoption of Generative AI, including LLMs and RAG, with a focus on building production-ready prototypes that can scale. | AgentServe | 8 |
| AI/ML Engineer - Vaccine Research AI/ML Engineer role focused on vaccine research, applying AI/ML to discover and develop vaccines. Responsibilities include shaping scientific strategy with AI, owning foundational and predictive modeling end-to-end, advancing generative AI for vaccine design, engineering robust ML systems, decoding high-dimensional biology, and elevating AI fluency. Requires PhD or Master's with experience in AI/ML within life sciences, knowledge of vaccine R&D, and expertise in foundation models, generative AI, and ML system design. | Post-trainAgent | 8 |
| AI/ML Engineer - Vaccine Research AI/ML Engineer role focused on vaccine research, applying AI/ML to discover and develop vaccines. Responsibilities include shaping scientific strategy with AI, owning foundational and predictive modeling end-to-end, advancing generative AI for vaccine design, engineering robust ML systems, decoding high-dimensional biology, and elevating AI fluency. Requires PhD or Master's with experience in AI/ML within life sciences, knowledge of vaccine R&D, and expertise in foundation models, generative AI, and ML system design. | Post-trainAgent | 8 |
| Director, Applied AI Director of Applied AI at Pfizer, responsible for translating AI strategy into production-grade solutions, platforms, and products. This role involves end-to-end technical ownership, leading engineering teams, and ensuring solutions are robust, scalable, and aligned with enterprise architecture, with a focus on business outcomes. Experience with LLMs, retrieval architectures, AI agents, observability, and governance is preferred. | ShipAgent | 7 |
| End-to-End Product Lead, AMP The End-to-End Product Lead for the Agentic Marketing Platform (AMP) at Pfizer will own the vision, strategy, roadmap, and delivery of an intelligent content operating system. This role involves translating business priorities into scalable AI-enabled product capabilities, managing product owners and cross-functional teams, and ensuring enterprise-wide adoption. The focus is on improving user productivity, content quality, compliance, and speed to market within the pharmaceutical marketing domain. | Agent | 7 |
| AI Solutions Expert—Agent Developer Develops and deploys AI agents for enterprise workflows, focusing on multi-agent frameworks, RAG, and LLM principles within a cloud and MLOps environment. | Agent | 7 |
| AI Data Engineer--LLMs / Agentic Systems This role focuses on building and deploying production-grade full-stack applications that integrate LLM and AI capabilities into pharmaceutical research workflows. Responsibilities include developing backend services for data processing, embedding generation, vector search, and LLM orchestration, creating frontend interfaces, implementing RAG systems and agentic LLM architectures, and deploying/maintaining systems on AWS. The role also involves contributing to semantic frameworks and conceptual research. | AgentData | 7 |
| Postdoctoral Fellow – AI/ML Enabled Bioprocess Modeling and Control Seeking a Postdoctoral Fellow to develop AI/ML enabled bioprocess models and control strategies for recombinant protein production. The role involves creating hybrid mechanistic-data-driven models, integrating omics data, applying ML for prediction, and developing model predictive control frameworks. It also includes exploring agentic AI for orchestrating model fitting and transfer learning, and designing experiments for data generation and validation. | DataAgent | 7 |
| Applied AI Workflow Scientist, Sr. Manager This role focuses on applying LLMs and agentic AI to scientific workflows in healthcare (Pfizer). The scientist will identify use cases, build reusable workflows and agentic systems, and partner with scientists to ensure adoption and impact. The role emphasizes practical application, scientific credibility, and scalable solutions. | Agent | 7 |
| Head, AI Delivery & Enablement (AIDE), Director Head of AI Delivery & Enablement (AIDE) at Pfizer, leading strategy and technical direction for applied AI in Inflammation & Immunology. Focuses on translating advances in LLMs, agentic systems, and multimodal AI into reusable capabilities, establishing governance and evaluation standards, and driving AI adoption. Requires strong technical credibility in AI/ML and computational biology, with experience in strategy, portfolio management, and scaling reusable solutions. | AgentEval Gate | 7 |
| Applied AI Workflow Scientist, Sr. Manager Senior Manager, Applied AI Workflow Scientist at Pfizer, focused on applying LLMs and agentic AI to scientific use cases in Inflammation & Immunology. The role involves identifying high-value scientific applications, building reusable AI workflows and agentic systems, and partnering with scientists to ensure adoption and impact. It emphasizes practical application, scientific credibility, user partnership, and scalable workflows. | Agent | 7 |
| AI Data Engineer--LLMs / Agentic Systems This role focuses on building and deploying full-stack applications that integrate LLM and AI capabilities into pharmaceutical research workflows. Responsibilities include developing backend services for data processing, embedding generation, vector search, and LLM orchestration, implementing RAG systems and agentic architectures, and creating frontend interfaces. The role also involves contributing to semantic frameworks and deploying systems on AWS. | AgentData | 7 |
| Director of AI Engineering – Vaccine R&D Operations Enablement Director of AI Engineering role focused on applying AI automation and advanced analytics in regulated healthcare R&D operations. The role involves leading the definition and delivery of AI solutions for lab and office workflows, strengthening operational decision-making through predictive models, enabling regulated AI systems with governance, optimizing development planning, and engineering/scaling production-grade ML platforms. Requires expertise in predictive modeling, optimization, automation, generative AI, and ML system design, with strong programming skills in Python and ML frameworks, and experience scaling models in cloud/HPC environments. Collaboration across scientific, operational, quality, and business teams is critical. | ShipServe | 7 |
| Sr. Director, US Commercial Product Lead, AIA Senior Director, US Commercial Product Lead, AIA at Pfizer. Owns the AI product roadmap for US Commercial, ensuring strategic alignment and delivery of AI-driven solutions. Leads a team of Product Owners, manages a budget, and collaborates with Commercial, Digital, and Analytics teams. Ensures adherence to data privacy, security, and ethical AI standards. Drives stakeholder engagement and change management for AI capabilities adoption. Accountable for delivering measurable business outcomes through AI. | Ship | 7 |
| Director, AI Product / Program Facilitator This role is for a Director, AI Product / Program Facilitator at Pfizer, focusing on managing the operational aspects of AI initiatives within the Commercial AI Transformation & Delivery organization. The role requires AI literacy to understand technical delivery, coordinate vendors and resources, manage risks, and facilitate communication between technical teams, business sponsors, and governance functions. The goal is to ensure AI initiatives are delivered efficiently and effectively within a regulated healthcare environment. | — | 5 |
| Director, Medical Insights The Director, Medical Insights at Pfizer plays a key role in advancing the company's Medical Insights capabilities by shaping, implementing, and improving processes. This role serves as a subject matter expert, partnering with various teams to enable consistent, high-quality insight generation and application. A core focus is maximizing the value and impact of Medical Insights by embedding them into medical processes and strategic discussions, leveraging advanced analytics, AI, and emerging technologies to translate complex medical data into actionable insights for data-informed decisions. | — | 5 |
| Senior Product Manager, Data Products Lead the global expansion of Pfizer's commercial data products, focusing on enabling AI-powered marketing workflows for personalized HCP and patient experiences. This role involves driving product strategy, identifying market requirements, defining and scaling AI-enabled workflows for audience creation and activation, managing trade-offs, and partnering with engineering and data science teams to define product requirements and integration patterns. The goal is to drive adoption of AI-powered capabilities to improve marketing effectiveness. | — | 5 |
| Manager Automation Engineer Manager Automation Engineer at Pfizer, responsible for managing manufacturing information systems, ensuring zero downtime, and improving manufacturing success rates. The role involves leading the design, implementation, and testing of automated processes and equipment within a highly regulated GMP environment. It also includes system compliance, technical leadership, and support for automation infrastructure. | — | 5 |
| Clinical Development Scientist, Director (Inflammation and Immunology) This Director-level role in Clinical Development for Pfizer's Inflammation and Immunology portfolio focuses on providing medical and scientific leadership for clinical trials. A key aspect of the role is to drive the integration of AI/ML and advanced analytics to transform clinical development workflows, optimize trial design and execution, and translate AI use cases into scalable solutions. The role requires experience applying AI/ML in clinical development and partnering with data science teams. | Ship | 5 |
| Clinical Development Scientist, Director (Inflammation and Immunology) This Director-level role at Pfizer focuses on providing medical and scientific leadership for clinical trials within the Inflammation and Immunology portfolio. A key aspect of the role is to drive the integration of AI-enabled and advanced analytics solutions to transform clinical development workflows, improve speed, efficiency, and decision-making. The candidate will lead the identification and implementation of AI/ML tools, partner with data science and digital teams, and champion adoption of innovative tools. Experience applying AI/ML in clinical development is required. | Ship | 5 |
| Pharmacometrician & Systems Pharmacologist Seeking a quantitative scientist for the Pharmacometrics & Systems Pharmacology (PSP) group to support the Internal Medicine portfolio using model-informed drug development (MIDD). The role involves developing and applying pharmacometric, systems pharmacology, and/or quantitative biology models to inform decision-making across drug discovery and clinical development. Responsibilities include quantitative modeling & simulation, contributing to MIDD strategies, cross-functional collaboration, and scientific leadership. Requires 0-3+ years post-Ph.D. in a quantitative discipline and experience in modeling/simulation. Experience with specific modeling tools and drug development processes is preferred. The role will integrate AI into data workflows and analytics. | Data | 5 |
| AI Embedded Systems Engineer This role focuses on developing software and data solutions to enable AI adoption in Pharmaceutical Sciences by automating, digitizing, and contextualizing scientific datasets. The engineer will partner with scientists, develop data products and pipelines for AI/ML use cases, and work with automation teams. Experience with data handling, integration, analysis, SQL, cloud data warehouses, and systems programming languages is required. | Data | 5 |
| AI Data Engineer — Pharmacokinetics, Dynamics, and Metabolism (Senior Associate) This role focuses on data engineering and MLOps within the pharmaceutical domain, specifically for ADME science. The primary responsibilities involve automating scientific workflows, preparing AI-ready datasets, and building scalable data pipelines to support AI/ML initiatives. The role requires strong Python skills, understanding of data architecture for AI/ML, and cloud deployment experience. | Data | 5 |
| Sr. Director, Cloud and Infrastructure Transformation Senior Director to lead transformational cloud and infrastructure initiatives, focusing on building next-generation cloud platforms for AI/ML-powered research. The role involves leading a technical team, driving multi-cloud and data center initiatives, and making architectural decisions to enable scientific research and drug discovery in a regulated environment. | Serve | 5 |
| Director, AI Product Product leader responsible for owning and delivering AI capabilities for content creation, review, and approval processes within Pfizer's commercial marketing organization. This role involves defining and executing a product roadmap, driving stakeholder engagement, and partnering with cross-functional teams to deliver AI-enabled solutions. | Agent | 5 |
| Senior Director/Team Head--Oncology Late Stage Data Review This role is for a Senior Director/Team Head in Oncology Late Stage Data Review at Pfizer. The primary responsibility is to oversee data integrity, analysis, quality, and the adoption of AI and best practices for the Late-Stage Oncology portfolio. The role involves managing and mentoring a team, partnering with various functional lines, setting data review strategies, and ensuring compliance with SOPs and regulations. A key aspect is the application of AI in streamlining data review activities and embracing evolving technologies. | — | 5 |
| AI Data Engineer--Computational Toxicology (Senior Associate) AI Data Engineer focused on Computational Toxicology at Pfizer. The role involves applying Data Engineering and MLOps best practices to automate scientific workflows, curate AI-ready datasets, and enable scalable AI solutions for drug safety science. This includes preparing, structuring, and validating data for AI-enabled toxicology assessments, integrating multi-modal datasets, and implementing scalable data pipelines. | Data | 5 |
| AI Data Engineer--Computational Toxicology (Senior Associate) AI Data Engineer focused on Computational Toxicology at Pfizer. The role involves applying Data Engineering and MLOps best practices to automate scientific workflows, curate AI-ready datasets, and enable scalable AI solutions for drug safety science. This includes preparing, structuring, and validating data for AI-enabled toxicology assessments, integrating multi-modal datasets, and implementing scalable data pipelines. | Data | 5 |
| Associate Director, Safety Surveillance Research Scientist This role focuses on safety surveillance research within the healthcare domain, involving epidemiological studies, literature reviews, and risk assessment for Pfizer products. While the role mentions using AI tools like ChatGPT, it is not the core craft, and the primary focus is on traditional epidemiological research and data analysis. | — | 5 |
| Sr. Director, CFC Enablement Lead - Oncology This role is for a Senior Director at Pfizer in Oncology, focusing on enabling Commercial Customer-Facing Colleagues (CFCs) through strategic investments in tools, processes, systems, and AI-enabled capabilities. The role involves shaping how the Oncology business enables its field force and scaling capabilities for future engagement. It requires a blend of Oncology commercial experience and data/AI fluency to translate insights into action, influencing outcomes across a matrixed organization. The responsibilities include strategic thought partnership within the Oncology CEP Leadership Team and leading enterprise-level reporting, analytics, and CRM programs, ensuring effective deployment of new capabilities at scale. | Ship | 5 |
| US Internal Medicine Innovation Lead This role focuses on developing and implementing new technologies and platforms, specifically an AI strategy roadmap, to drive growth in the US Internal Medicine commercial efforts for a flagship brand. It involves assessing and championing new go-to-market approaches using AI and enterprise resources to improve customer and patient experience, and ensuring successful roll-out of AI-enabled capabilities and omnichannel marketing campaigns. | Agent | 5 |
| Director, Commercial Performance Analytics & Insights This role is for a Director of Commercial Performance Analytics & Insights at Pfizer. The primary focus is on leveraging data to drive analytical insights for commercial performance tracking and reporting, including executive dashboards and omnichannel engagement. The role involves standardizing the commercial reporting ecosystem, partnering with senior business stakeholders, and collaborating with other analytical teams. While the role utilizes data science and analytics, its core function is product performance reporting and insights generation within the healthcare domain, rather than building AI models. | — | 5 |
| Senior Scientist, Automation This role focuses on designing, prototyping, and developing laboratory automation solutions for process development in healthcare, leveraging machine learning, computer vision, and digital tools to enhance experimentation and automation goals. It involves integrating hardware, analytical devices, and implementing robotic control and data management systems, with a requirement for Python or C++ programming for AI/ML applications. | Data | 5 |
| Sr. Director, Commercial AI Product Owner This role leads an AI product for commercial acceleration, focusing on designing, developing, and scaling real-time messaging suggestions for end customers to improve engagement and drive business outcomes. The Sr. Director will own the product roadmap, backlog, and lead a cross-functional team, ensuring governance, release readiness, testing, monitoring, and adoption. The role requires understanding of AI/ML frameworks and experience leading commercial projects and teams. | Ship | 5 |
| Sr Manager Full Stack Developer This role is for a Sr. Manager Full Stack Developer at Pfizer, focusing on implementing technology solutions across the company, from research to manufacturing. The role involves leading scrum teams, managing projects, overseeing release management, and managing budgets and resources. While the role mentions using common AI tools like ChatGPT, its core responsibilities are in software development, project management, and team leadership within the pharmaceutical domain, not in building or researching AI models. | — | 5 |
| Sr. Director, US Commercial Product Lead, AIA Senior Director, US Commercial Product Lead, AIA at Pfizer. Owns the AI product roadmap for US Commercial, ensuring strategic alignment and delivery of AI-driven solutions. Leads a team of Product Owners and manages a significant budget, with executive-level exposure and accountability for driving outcomes tied to CEO-sponsored priorities. Ensures adherence to data privacy, security, and ethical AI standards, and partners with Commercial, Digital, and Analytics teams for seamless integration. | Ship | 5 |
| Senior Scientist, Automation This role focuses on designing, prototyping, and developing laboratory automation solutions for process development in healthcare, leveraging technologies like computer vision and machine learning. It involves integrating automated hardware, implementing robotic control and data management systems, and using coding languages like Python or C++ for AI/ML applications. The goal is to enhance automation for laboratory experimentation and drug development workflows. | Data | 5 |
| Associate Director, Safety Surveillance Research Scientist This role focuses on epidemiological research within healthcare, specifically for drug safety surveillance. It involves conducting literature reviews, designing database studies to assess risks and effectiveness of interventions, and engaging with regulatory agencies. While the role mentions using AI tools like ChatGPT, AI/ML is not the core craft. | — | 5 |
| Facilities Electrical Engineer Facilities Electrical Engineer responsible for electrical and controls systems in a regulated R&D site, focusing on planning, oversight, and vendor management for facility operations, capital planning, and modernization efforts. | — | 0 |
| Senior Manager, Contract Strategy This role supports the development and execution of contract strategies for institutional customer segments within the Global Hospital & Biosimilars (GH&B) U.S. Commercial Contracting & Rebate Operations organization. It involves partnering with various cross-functional stakeholders to deliver market-responsive, compliant, and data-driven contracting strategies, enabling access to hospital and biosimilar therapies. The role requires analyzing data, evaluating contract performance, and providing analytical insights to support decision-making and negotiations. | — | 0 |