Manager, AI/ML Engineer

ROLE SUMMARY

The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions  to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.

As a AI engineer in the newly formed AIA team, you will design, build and deploy AI agents that automate workflows, enhance decision-making, and enable intelligent user interactions across the enterprise. This role will focus on integrating multi-agent frameworks and ensuring scalable, ethical, and high-performance agent-based systems. 

Agentic AI & LLM development

• Design, build and optimize LLM-driven agents, multi agent systems and autonomous AI workflows

• Develop domain-specific toolkits, prompt pipeline and agent orchestration logic

• Implement safety, guardrails, fallback patterns and hallucination control strategies

RAG & Knowledge Creation

• Architect and implement retrieval-augmented generation pipelines with embeddings, vector search and metadata filtering

• Work closely with data engineering to build semantic layers, knowledge graphs and ontology aligned datasets

• Fine-tune and adapt LLMs using domain-specific knowledge while ensuring compliance

Model Engineering & MLOps/LLMOps

• Develop and tune ML/LLM models

• Build robust model pipelines for training, evaluation, deployment and monitoring

• Implements LLMOps practices-lineage, versioning, bias/hallucination evaluation, prompt testing and runtime monitoring

Integration and Application Development

• Develop APIs, microservices and agent endpoints for enterprise integration

• Utilize cloud infrastructure (Azure/AWS/GCP) and MLOps frameworks for continuous delivery. 

• Ensure code quality, testing, and maintainability through best development practices. . 

• Continuously optimize performance and cost efficiency of AI systems. 

Collaboration & Innovation 

• Partner with Business Translators, UI/UX, and Change Management teams to translate needs into deployable AI solutions. 

• Evaluate new technologies and frameworks that enhance automation or predictive insights. 

• Drive innovation through hackathons, proof-of-concepts, and partnerships with vendors. 

• Promote a culture of responsible AI, ethics, and compliance

BASIC QUALIFICATIONS  

• Bachelor’s degree in Computer Science, Engineering, or related field. 

• 5+ years of relevant experience in AI, software, or data development. 

• Experience with agentic orchestration frameworks (e.g. Langchain), Vector databases (e.g. pinecone), embedding models, RAG architecture, and LLM principles.  

• Proven leadership in managing technical teams and delivering enterprise-scale projects. 

• Strong knowledge of agile methodologies and DevOps practices. 

Preferred Qualifications: 

• Master’s degree or PhD in Computer Science, Data Science, or related field. 

• Experience in pharmaceutical or healthcare technology environments. 

• Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations. 

• Demonstrated success in deploying AI or ML solutions in production environments. 

• Understanding of commercial analytics, medical content and scientific knowledge workflows

• Familiarity with prompt evaluation frameworks

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.