PfizerStaff Platform Engineer, AI & Agentic AI Platform Engineering
Pfizer is hiring a Staff Platform Engineer, AI & Agentic AI Platform Engineering. Level rates it ; you can apply on Pfizer.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Kubernetes, Terraform and AWS.
- Level classifies it as a senior role.
- Level lists 555 other open roles at Pfizer.
- The role was posted within the past two weeks.
AI in this role
Build and scale foundational multi-cloud hosting infrastructure and automated deployment pipelines specifically for AI and agentic AI platforms.
ROLE SUMMARY
Staff Platform Engineer is an individual contributor role reporting to the Principal Platform Engineer. This role delivers infrastructure and delivery outcomes across AI & Agentic AI Platform hosting platforms.
You implement the technical vision for foundational platform services that enable multi-cloud hosting and operations, as well as AI-driven workflows. You build scalable, secure, and compliant infrastructure while partnering with cross-functional teams to accelerate innovation and operational excellence. Success requires deep technical expertise, practical judgment, and the ability to collaborate and influence.
You standardize infrastructure patterns, automate deployments, and integrate capabilities such as GPU enablement, autoscaling, and GitOps practices, so platforms stay reliable, compliant, and high performing at scale.
ROLE RESPONSIBILITIES
Platform Engineering and Automation
- Build reusable modules and templates for environment provisioning in AWS and Azure.
- Operate CI/CD pipelines that standardize build, test, and deploy flows with auditable delivery.
- Automate onboarding and environment setup to minimize manual effort for application teams.
- Deliver runbooks, incident response guides, and self-healing automation for critical services.
- Contribute to platform architecture for shared hosting and delivery pipelines across multiple clouds.
- Design and implement multi-cloud infrastructure patterns using Infrastructure as Code and GitOps.
- Drive Kubernetes orchestration, autoscaling, and workload isolation for web, worker, and data services.
- Help refine standards for observability, security, and compliance aligned to regulated environments.
Operational Excellence
- Run multi-environment Kubernetes clusters with hardened ingress, registry access, and role-scoped permissions.
- Maintain platform services for logging, metrics, alerts, registries, DNS, and TLS.
- Enforce guardrails such as resource limits, quotas, network policies, and least-privilege access.
- Participate in post-incident reviews and drive improvements for reliability and cost efficiency.
BASIC QUALIFICATIONS
- Strong experience in platform engineering, DevOps, and cloud-native infrastructure.
- Deep expertise in Kubernetes, container orchestration, and Infrastructure as Code (Terraform).
- Proven experience with multi-cloud architecture (AWS, Azure, GCP) and GitOps workflows (Argo CD).
- Strong background in CI/CD pipeline design, observability, and security/compliance frameworks.
- Bachelor's or master's degree in computer science, Engineering, or related technical field.
PREFERRED QUALIFICATIONS
- Familiarity with Generative AI infrastructure, evaluation frameworks, and integration patterns.
- Knowledge of GxP/regulated environments and qualification processes.
- Proven Track record of driving platform adoption and mentoring engineering teams.
- Experience in pharmaceutical, healthcare, or other highly regulated industries.
Work Location Assignment: Hybrid (some office presence is required)
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
DisAbility Confident
We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here!
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
How we rate this
Staff Platform Engineer, AI & Agentic AI Platform Engineering at Pfizer rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where gitops was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Platform Engineering, DevOps, Infrastructure As Code, Gitops, and CI/CD. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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