Manager, DS & AI Backend 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 Manager Backend Engineer you will design develop and scale backend systems that power autonomous toolusing AI agents. This role focuses on building reliable highperformance services that enable multistep reasoning planning memory retrieval and tool integration across AI-driven workflows.

ROLE RESPONSIBILITIES

• Build backend services supporting agentic and generative AI workflows
• Implement multistep reasoning planning and toolexecution loops
• Develop state and memory systems for agent context and knowledge retention
• Design and optimize RAG pipelines and retrieval infrastructure
• Integrate LLMs with APIs tools databases and external systems
• Implement guardrails validation layers retry logic and failurehandling mechanisms
• Develop monitoring for agent behavior performance cost and decision paths
• Architect scalable faulttolerant backend systems with observability and logging
• Build automated evaluation pipelines for agent reliability accuracy and safety
• Deploy and maintain services using Docker CI/CD and cloud environments
• Ensure compliance with security RBAC and data protection requirements

Basic Qualifications

• Bachelors or Masters degree in computer science or a related field (or equivalent experience).
• 5 years of experience in software engineering data science or related technical fields.

Backend Engineering

• Proficiency in Python
• Experience with FastAPI or Flask
• Knowledge of REST APIs async processing and distributed workers
• Experience with relational NoSQL and vector databases

Agentic AI & LLM Systems

• Experience building agent-based AI systems
• Familiarity with LangGraph LangChain LlamaIndex CrewAI AutoGen or similar frameworks
• Understanding of tool-calling structured outputs and prompt reliability
• Experience with OpenAI/Azure OpenAI Anthropic Mistral or open-source LLMs

System Design & Operations

• Experience with scalable system design and faulttolerant architecture
• Hands-on experience with observability (logging metrics tracing)
• Proficiency with Docker CI/CD pipelines and cloud platforms

Security & Compliance

• Knowledge of API security RBAC and data handling best practices
• Experience working with PII and sensitive data

Preferred Qualifications

• Experience with multiagent workflows
• Exposure to workflow orchestration tools (Airflow Temporal Dagster Prefect)
• Familiarity with model serving frameworks (vLLM Ray Serve TGI Modal)
• Understanding of AI safety guardrails and evaluation frameworks

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