Currently tracking 10 active AI roles, down 57% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$358k (avg $176k).
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.
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 |
|---|---|---|
| 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 |
| 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 |