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.

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.

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.

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.

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.

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.

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.

Senior Manager, Data & AI Engineer role focused on building and scaling data and AI engineering capabilities for AIT programs. This player-coach role involves end-to-end platform capability design (L4+), coordinating with various teams, and ensuring trusted data consumption and AI adoption. Responsibilities include designing and delivering production-grade data pipelines, semantic layers, model/LLM serving services, and operational tooling with strong engineering discipline. The role also emphasizes cross-functional alignment, AI consumption enablement (semantic/context layers, orchestration patterns), data quality, observability, MLOps/LLMOps, and backend services development.

The GCA China Analytics Innovation Lead at Pfizer will drive analytics innovation, focusing on AI-driven solutions to solve complex business problems in the healthcare commercial organization. This role involves developing and executing an innovation roadmap, championing AI tool adoption, and enabling analytical capabilities within the team. The lead will partner with various stakeholders to identify opportunities, incubate, develop, and implement AI/ML initiatives, and quantify their business impact.

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.

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.