AI Infrastructure Architect & Platform Lead

Prattwhitney

Cedar Rapids (IA)

On-site

USD 132,400 - 251,600

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance

Three weeks of vacation

Generous 401(k) plan with matching

Tuition reimbursement

Student Loan Repayment Program

Life insurance and disability coverage

Employee Assistance Program

Job summary

Collins Aerospace in Cedar Rapids, IA seeks an AI Infrastructure Engineer to architect and lead scalable AI infrastructure for GenAI research. You will manage on‑prem and cloud environments, build self‑service environments, and drive secure, repeatable workflows.

You will collaborate across ART and DT teams, shape infrastructure strategy, and support researchers with container platforms, CI/CD, and tooling. This is an onsite role with relocation assistance available.

Qualifications

Degree in STEM with 7–10 years of relevant experience, or an advanced degree with at least 7 years of experience.
Experience administering AI or compute-intensive infrastructure including GPU servers and Kubernetes.
Experience with Linux, container runtimes, orchestration, and platform configuration.
Experience in security, compliance, and access control within enterprise IT.

Responsibilities

Lead the architecture, design, and evolution of scalable AI infrastructure including GPU servers, Kubernetes clusters and supporting platform services.
Define the technical vision and deliver standardized AI development platforms and engineering workflows that enable secure, repeatable, and scalable AI research.
Enable AI researchers and developers by delivering secure, self-service development environments, container platforms, and engineering tooling that accelerate innovation and improve productivity.
Architect and oversee end-to-end AI platform capabilities, including containerized environments, source control, CI/CD pipelines, and developer tooling.
Manage DT-aligned platform operations including accounts, access, backups, compliance, and server configuration.
Implement and track required approvals, authorizations, and compliance activities.
Support and maintain on-prem and cloud-based environments within RTX’s DT ecosystem.
Evaluate and recommend emerging tools; support sandboxed pilots for AI infrastructure and MLOps/LLMOps capabilities.
Collaborate with ART, DT, and AI/ML teams to align infrastructure with research needs.
Travel up to 25%.