Principal AI Platform Infrastructure Engineer

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About the Department: This team builds and operates the platform capabilities that enable enterprise adoption of agentic AI technologies, providing self-service deployment, standardized operations, and secure consumption of AI platform services. They own the lifecycle of AI platform infrastructure capabilities, including infrastructure-as-code modules, deployment automation, identity services, gateway services, and policy enforcement capabilities, from initial build through retirement.

The Principal AI Platform Infrastructure Engineer builds and operates the infrastructure platform that enables secure, scalable deployment of agentic AI solutions across the enterprise. This role develops reusable infrastructure modules, deployment automation, and platform capabilities that allow application teams to rapidly adopt AI technologies while meeting security, governance, and operational standards. Responsibilities of the Role: Build, maintain, version, and manage the lifecycle of Terraform (or equivalent IaC) modules and shared platform capabilities, including backward compatibility and deprecation. Translate reference architectures into tested, production-ready platform capabilities and infrastructure modules. Maintain platform documentation, contracts, and usage guidance that enable self-service adoption of AI infrastructure capabilities. Design and improve self-service deployment experiences that reduce infrastructure complexity and accelerate adoption by application teams. Build and operate CI/CD, observability, and operational tooling that improves platform reliability, quality, and delivery velocity. Apply security, identity, and compliance requirements as code, so infrastructure deployed through the modules meets firm standards by default Establish engineering standards, best practices, and implementation guidance for AI platform capabilities. Troubleshoot and resolve platform, deployment, and consumption issues impacting consuming teams. Partner with the Agentic Infrastructure Architect to influence platform strategy, validate architecture decisions, and improve delivery of reusable platform patterns. Drive adoption and roadmap execution for AI platform capabilities through collaboration with architecture, security, operations, and application teams. Lead complex technical decisions involving infrastructure automation, platform services, and AI enablement capabilities. Requirements of the Role: Hands-on experience building Terraform (or equivalent IaC) modules, reusable platform components, and self-service infrastructure capabilities. Experience building and maintaining CI/CD pipelines for infrastructure delivery (testing, versioning, publishing) Experience implementing observability, operational readiness, and reliability practices for shared platform services. Working knowledge of cloud identity/access management, networking, and security-as-code practices Experience with cloud AI platform technologies such as Amazon Bedrock, Azure AI Foundry, model gateways, evaluation frameworks, vector databases, or similar AI infrastructure services. Ability to translate architecture designs into working, tested infrastructure code Experience operating and supporting shared platforms consumed by multiple teams. Strong documentation practices including platform contracts, usage guidance, and release documentation. Ability to independently lead complex technical initiatives, evaluate architectural tradeoffs, and influence design decisions across