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Job DescriptionAbout 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.
About the Role:
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.
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 multiple teams.
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.
What’s in it for you?Our people are at the very core of our success and we strive to provide employees with a competitive total rewards package which includes:
Hybrid working environment
RRSP Contributions
Health & Wellness Benefits
Work flexibility Programs
Parental Leave Benefits
Study Support
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco is committed to fair and accessible employment practices. If selected for an interview, we will work with you to ensure that your interview is accessible and accommodation is provided. Please contact us at [email protected] or 1.800.874.6275 to let us know if you require accommodation for an interview due to a disability.
Skills Required
- Hands-on experience building Terraform or equivalent infrastructure-as-code modules, reusable platform components, and self-service infrastructure capabilities
- Experience building and maintaining CI/CD pipelines for infrastructure delivery, including testing, versioning, and publishing
- Experience implementing observability, operational readiness, and reliability practices for shared platform services
- Working knowledge of cloud identity and 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 multiple teams
Invesco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Invesco and has not been reviewed or approved by Invesco.
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Retirement Support — Retirement programs emphasize a strong 401(k) design with immediate eligibility and match vesting, alongside references to employer contributions that support long-term savings. Materials position retirement offerings as a core element of a comprehensive total-rewards package.
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Parental & Family Support — Parental leave is positioned as a robust offering in the U.S. and EMEA, with detailed paid-leave durations previously disclosed and an emphasis on inclusive, gender-neutral policies. Company information indicates broad parental-leave availability as part of total rewards, subject to local specifics.
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Leave & Time Off Breadth — Paid time off and holidays are highlighted as meaningful components of the package, with flexibility noted in some areas. Feedback suggests certain U.S. exempt roles use flexible or “unlimited” PTO approaches that enhance practical time-off access.
Invesco Insights
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