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.
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