Loading...
Loading...
Pfizer's Data and AI Platforms team is seeking a Platform Engineer to build and operate an enterprise pro-code AI Agent Platform. This role involves developing solutions on Microsoft Azure and Google GCP, integrating services like Microsoft Foundry and Google Vertex AI. You will design, build, and maintain scalable AI platforms with a focus on security, governance, and cost management. Responsibilities include using Infrastructure-as-Code (Terraform) for cloud provisioning, implementing CI/CD pipelines, and integrating AI/ML services. The role requires collaboration, mentorship, and hands-on engineering expertise to empower data-driven culture.
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.
As part of the Data and AI Platforms team, you will join a group of Platform Engineers responsible for building and operating the enterprise pro‑code AI Agent Platform. This platform serves as a unified digital engine that consolidates existing investments into a seamless experience for colleagues, enabling the next level of value creation across the organization. It powers next‑generation insights through enterprise‑grade data foundations, enabling horizontal data flow, supporting a versatile analytics ecosystem, and embedding actionable insights into everyday workflows to foster a truly data‑driven culture.
In this role, you will act as a Platform Engineer supporting a diverse user base that ranges from business analysts and application developers to data scientists and principal engineers. You will balance deep platform engineering with hands‑on experience developing Microsoft Azure and Google GCP based solutions and pro‑code AI agent applications, acting as a “Customer Zero” user of the platforms. As an engineering and operations leader, you will help deliver and evolve the Agentic AI Platforms, including integrating Microsoft Foundry and Google Vertex AI services to enable secure, scalable, and compliant AI agents and data applications.
You will design and build a reliable, transparent, interoperable, and sustainable enterprise AI platforms, with a strong focus on security, governance, cost management, and lifecycle practices. You will contribute to shaping the platforms roadmap, mentor engineers, and collaborate closely with architecture, security, and product teams to deliver a best‑in‑class developer experience. Your work will include using Infrastructure-as-Code (Terraform) to provision cloud resources in a consistent and repeatable manner, ensuring high availability and reproducibility of environments, and implementing robust tracing, monitoring, and observability capabilities for AI agents. You will also drive the adoption of the latest Foundry and Vertex AI for agentic AI—helping the organization operationalize and scale AI-driven solutions.
This role is well suited to individuals with a background in software development, systems engineering, DevOps, or cloud platform engineering, particularly those with expertise in modern infrastructure automation and a passion for building scalable, resilient platforms that accelerate team productivity. Success in this role also requires the ability to build trusted partnerships with technology vendors, delivery partners, and internal stakeholders, and to apply both emerging and established technologies to advance the organization’s analytics and AI platform strategy.
This role requires a balance of strategic leadership and hands on engineering, with a strong focus on building a scalable and trusted platform that empowers teams across the enterprise.
Key responsibilities include
Basic Qualifications
Preferred Qualifications
In addition to the core requirements, candidates with the following experience will be well positioned to succeed in this role.
PHYSICAL/MENTAL REQUIREMENTS
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
OTHER INFORMATION
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Information & Business Tech