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 Senior Associate, Backend Engineer, you will 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.

Build automated evaluation pipelines for agent reliability, accuracy, and safety

Implement multi‑step reasoning, planning, and tool‑execution loops

Deploy and maintain services using Docker, CI/CD, and cloud environments

Ensure compliance with security, RBAC, and data protection requirements

Develop state and memory systems for agent context and knowledge retention

Optimize RAG pipelines and retrieval infrastructure

Implement guardrails, validation layers, retry logic, and failure‑handling mechanisms

Build automated evaluation pipelines for agent reliability, accuracy, and safety

Implement multi‑step reasoning, planning, and tool‑execution loops

Deploy and maintain services using Docker, CI/CD, and cloud environments

Ensure compliance with security, RBAC, and data protection requirements

Develop state and memory systems for agent context and knowledge retention

Optimize RAG pipelines and retrieval infrastructure

Implement guardrails, validation layers, retry logic, and failure‑handling mechanisms

Develop monitoring for agent behavior, performance, cost, and decision paths

Architect scalable, fault‑tolerant backend systems with observability and logging

Build backend services supporting agentic and generative AI workflows

Integrate LLMs with APIs, tools, databases, and external systems

Basic Qualifications

Bachelor’s or master’s degree in computer science, or a related field (or equivalent experience).

2-5 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

System Design & Operations

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

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

Experience with multi‑agent 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.