Platform Engineer for Pfizer’s Data and AI Platforms team, developing Azure solutions and pro-code AI agent applications. Leading engineering and operations for a scalable enterprise-grade platform.
Responsibilities
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.
Architect highly available, scalable, and reproducible Azure environments using Infrastructure as Code (Terraform); implement CI/CD pipelines for platform components and configurations.
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 regulatory standards; drive regular audits and hardening.
Operationalize Azure AI Foundry and related AI/ML services to enable agentic applications; define patterns, SDK and CLI choices, and operational run–books for development teams.
Establish comprehensive monitoring, logging, tracing, alerting, SLOs/SLAs, and incident response; proactively optimize performance, availability, and cost.
Requirements
Bachelor’s degree with at least four years of relevant experience; OR Master’s degree with two years of relevant experience; OR Associate's degree with seven years of relevant experience; OR Ph.D. with 0+ years of experience; OR 9 years of relevant experience with a high school diploma or equivalent
3+ years in engineering/technical roles operating complex, rapidly evolving platforms/products
Demonstrated hands–on expertise with Microsoft Azure services and architecture: compute (VMs, AKS), storage (Blob/SQL), networking (VNet, NSGs), identity (Service Principals/RBAC), APIs (Azure API Management) web interfaces, agentic AI (Foundry/Agent 365)
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