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, tool‑using AI agents. This role focuses on building reliable, high‑performance services that enable multi‑step reasoning, planning, memory, retrieval, and tool integration across AI-driven workflows.

ROLE RESPONSIBILITIES

Build backend services supporting agentic and generative AI workflowsImplement multi‑step reasoning, planning, and tool‑execution loopsDevelop state and memory systems for agent context and knowledge retentionDesign and optimize RAG pipelines and retrieval infrastructureIntegrate LLMs with APIs, tools, databases, and external systemsImplement guardrails, validation layers, retry logic, and failure‑handling mechanismsDevelop monitoring for agent behavior, performance, cost, and decision pathsArchitect scalable, fault‑tolerant backend systems with observability and loggingBuild automated evaluation pipelines for agent reliability, accuracy, and safetyDeploy and maintain services using Docker, CI/CD, and cloud environmentsEnsure compliance with security, RBAC, and data protection requirements

Basic Qualifications

Bachelor's or Master’s 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 PythonExperience with FastAPI or FlaskKnowledge of REST APIs, async processing, and distributed workersExperience with relational, NoSQL, and vector databases

Agentic AI & LLM Systems

Experience building agent-based AI systemsFamiliarity with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworksUnderstanding of tool-calling, structured outputs, and prompt reliabilityExperience with OpenAI/Azure OpenAI, Anthropic, Mistral, or open-source LLMs

System Design & Operations

Experience with scalable system design and fault‑tolerant architectureHands-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 practicesExperience working with PII and sensitive data

Preferred Qualifications

Experience with multi‑agent workflowsExposure 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.

Information & Business Tech