Manager, Platform Engineer
Listed on 2026-02-14
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IT/Tech
AI Engineer, Data Engineer, Systems Engineer, Cloud Computing
ROLE SUMMARY
Pfizer’s purpose, breakthroughs that change patients’ lives, is rooted in being science driven and a patient focused company. Digital and Technology is the driving force of data and AI innovation at Pfizer.
The Data and AI Platforms team, which is part of the Artificial Intelligence Center of Excellence organization is responsible for the creating a seamless experience for engineers to harness data, analytics, machine learning, artificial intelligence, agentic, and visualization capabilities through a unified platform across the enterprise – from research and development, clinical, manufacturing, commercial and enabling functions across all geographies. The team is responsible for the self-service platform ecosystem, developer experience, and exploration of emerging technology.
Part of the Data and AI Platforms team are a group of Platform Engineers who are responsible managing components that form the enterprise pro code AI Agent Platform. This platform will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation. It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture.
In this role, you will act as a Platform Engineer expert for the pro-code Agent Platform that serves a diverse group of colleagues – ranging from novice business analysts and developers to expert data scientists and principal engineers – across the enterprise. The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating Azure solutions and pro code AI agent applications as a Customer Zero of the platform.
You will be an engineering and operations leader for the Azure-based Agent Platform, including integration of Microsoft Foundry services to enable secure, scalable, and compliant pro‑code AI agents and data applications.
You will design and build a reliable, transparent, interoperable, and sustainable enterprise-grade platform with security, governance, cost management, and lifecycle in mind; guide the roadmap; and mentor engineers while collaborating with architecture, security, and product teams to deliver a best‑in‑class developer experience. This will include using Infrastructure-as-Code (Terraform) to provision cloud resources in a consistent, repeatable way, ensure environments are highly available and easily reproducible while ensuring tracing, monitoring, and observability of agents.
You will also integrate Azure’s latest capabilities (including Azure Microsoft Foundry for Agentic AI applications) into the platform, helping the organization leverage Agentic AI in business solutions.
You may have a software development, systems engineering, or Dev Ops background, or you might have started your career in cloud platform engineering with modern infrastructure automation practices and have a passion for building robust cloud platforms that empower teams to move faster.
You will have the ability build trusted partnerships with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of the Agent Platform strategy.
ROLE RESPONSIBILITIES- Agent Platform Solution Architecture:
Lead design, engineering, security, compliance, release management, governance, financial management, roadmap, and service/operational oversight for the enterprise pro‑code AI agent platform on Azure, including Foundry integrations. - Engineer & Automate Cloud Infrastructure:
Architect highly available, scalable, and reproducible Azure environments using Infrastructure as Code (Terraform); implement CI/CD pipelines for platform components and configurations. - Security & Compliance by Design:
Implement and enforce robust controls across identity (RBAC), network (VNets/NSGs), data protection (encryption at rest/in transit), and policy guardrails (Azure Policy), aligned to enterprise and…
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