Principal AI Platform Infrastructure Engineer

By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. 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. 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. Establish engineering standards, best practices, and implementation guidance for AI platform capabilities. Troubleshoot and resolve platform, deployment, and consumption issues impacting consuming teams. 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. 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). 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. Ability to independently lead complex technical initiatives, evaluate architectural tradeoffs, and influence design decisions across multiple teams. Parental Leave Benefits Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. ca or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world.