AI Platform Engineer

** Date Posted:
**** Country:
** United States of America
*
* Location:

** US-WI-REMOTE
** Position Role Type:
** Remote
* * U.S. Citizen, U.S. Person, or Immigration Status Requirements:
** U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
** Security Clearance Type:
** None/Not Required
** Security Clearance Status:
** Not Required

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses:  Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.

The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia. The Enterprise Services team within RTX Digital Technology builds foundational platforms that enable data and AI capabilities  are engineering the next generation of RTX’s enterprise-wide AI ecosystem—secure, compliant, cloud-agnostic, and built to power mission-critical applications.

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. You will influence architecture decisions, define engineering standards, and mentor other engineers while driving delivery across hybrid cloud environments.
*
* What You Will Do:

*
* * 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 Git Ops 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.  
** Qualifications You Must Have:*
* * 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).

** Qualifications We Prefer:
*** Experience applying Git Ops practices using Argo CD or similar tools to manage multi-cluster environments.
* Deep understanding of CI/CD pipelines, automation frameworks, and Dev Ops 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 Dev Ops and AIOps strategies,…