AI Platform Engineer

Collins Aerospace is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. As a Senior AI Platform Engineer, you will lead the design and implementation of scalable, secure AI infrastructure and platform services that accelerate AI adoption across the enterprise.

Responsibilities:

• Architect and develop cloud-agnostic platform solutions that operate across AWS, Azure, and on-premises Kubernetes clusters, ensuring scalability, resilience, and security
• Lead the design of enterprise-grade container orchestration and AI workload management strategies
• Design and build internal SDKs, APIs, and reusable platform services that standardize AI workflows across hybrid environments
• Define and implement GitOps strategies (e.g., Argo CD) to automate cluster lifecycle management and enforce declarative configuration across environments
• Develop and maintain reusable Helm charts, manifests, and deployment templates that promote consistency, portability, and operational excellence
• Establish CI/CD standards and infrastructure-as-code practices (Terraform or equivalent) to support scalable, secure deployments
• Integrate AI platform tooling with enterprise identity, logging, observability, governance, and compliance systems
• Provide technical leadership in architecture reviews, code reviews, and design discussions; drive engineering best practices across teams
• Mentor junior engineers and contribute to a culture of continuous improvement, technical excellence, and knowledge sharing
• Operate effectively in a highly regulated, security-conscious environment, ensuring adherence to enterprise and industry standards

Requirements:

• Typically requires a University Degree or equivalent experience and minimum 5 years prior relevant experience, or an Advanced Degree in a related field and minimum 3 years experience
• Demonstrated experience designing and operating Kubernetes-based platforms in cloud and/or hybrid environments
• Strong proficiency in Python and Infrastructure as Code (Terraform or equivalent)
• Experience applying GitOps practices using Argo CD or similar tools to manage multi-cluster environments
• Deep understanding of CI/CD pipelines, automation frameworks, and DevOps platform engineering principles
• Experience designing reusable platform components and developer enablement tooling (SDKs, APIs, templates)
• Familiarity with AI/ML platforms, model lifecycle management, data pipelines, and agent frameworks
• Experience integrating AI systems with enterprise identity, access management, and governance controls
• Proficiency in additional languages such as Go or Node.js
• Strong understanding of DevOps and AIOps strategies, championing containerization and Infrastructure as Code best practices at scale
• Proven ability to navigate ambiguity, define technical direction, influence stakeholders, and drive end-to-end platform solutions
• Demonstrated technical leadership, including mentoring engineers and contributing to architectural standards