Principal AI Platform Infrastructure Engineer

invesco; Charlottetown; Hybrid; CAD 75,000 - 85,000; Full time

Benefits offered by this job

Hybrid working environment

RRSP Contributions

Health & Wellness Benefits

Job summary

Invesco in Charlottetown is seeking a Principal AI Platform Infrastructure Engineer to design and operate the infrastructure platform enabling secure, scalable deployment of agentic AI solutions across the enterprise. You will build reusable modules, automate deployment, and ensure governance and security standards are met.

You will collaborate with architecture, security, and application teams to drive adoption, maintain platform contracts, and lead complex technical initiatives while upholding

Qualifications

• Hands-on experience building Terraform modules and self-service infrastructure capabilities.
• Experience building and maintaining CI/CD pipelines for infrastructure delivery.
• 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 Bedrock, Azure AI Foundry, or similar.
• Ability to translate architecture designs into working infrastructure code.
• Experience operating and supporting shared platforms consumed by multiple teams.
• Strong documentation practices including platform contracts and usage guidance.
• Ability to independently lead complex technical initiatives and influence design decisions across teams.

Responsibilities

• Build, maintain, version, and manage Terraform modules and shared platform capabilities.
• Translate reference architectures into tested, production-ready platform capabilities and infrastructure modules.
• Maintain platform documentation, contracts, and usage guidance for self-service adoption.
• Design and improve self-service deployment experiences to reduce infrastructure complexity.
• Build and operate CI/CD, observability, and operational tooling for platform reliability.
• Apply security, identity, and compliance as code to meet firm standards by default.
• Establish engineering standards and implementation guidance for AI platform capabilities.
• Troubleshoot and resolve platform, deployment, and consumption issues for consuming teams.
• Partner with the Agentic Infrastructure Architect to influence platform strategy and architecture decisions.
• Drive adoption and roadmap execution for AI platform capabilities across teams.
• Lead complex technical decisions involving infrastructure automation and AI enablement.

Skills

Terraform IaC

CI/CD pipelines

Observability

Security as code

Cloud AI platforms

Architecture translation

Leadership

Platform adoption

Job description

As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. 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. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

Job Description

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.

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.

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 multiple teams.

The salary range for this position in Charlottetown is $75,000 - $85,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based based on skills, experience and location.

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.

What's in it for you?

• Hybrid working environment
• RRSP Contributions
• Health & Wellness Benefits
• Wo