Enterprise AI Platform Engineer — Hybrid & Scalable

RTX; Cedar Rapids (IA); Hybrid; USD 108,000 - 205,000; Full time

Benefits offered by this job

Parental leave (including paternal)

Flexible work schedules

Educational assistance

Employee Scholar Program

401(k) match

Paid time off and holidays

Job summary

RTX is seeking an experienced AI Platform Engineer to design, build, and operate reusable software and runtime capabilities enabling enterprise AI solutions across RTX. This hands-on role emphasizes production-grade backend platforms, cloud-native design, and secure, scalable deployments.

You’ll collaborate with AI Architects, Applied AI, cybersecurity, data teams, and enterprise tech to accelerate AI adoption and build reusable capabilities across RTX business units.

Qualifications

• Bachelor's degree in CS/Engineering or related STEM discipline with 8+ years of experience (or advanced degree with 5+ years).
• 5+ years hands-on software engineering for backend services, distributed systems, cloud platforms, or similar production software.
• Proficiency in Python, Java, C#, or another modern backend language with production-grade code.
• Experience designing APIs, microservices, or backend platform capabilities.
• Cloud-native engineering experience including Docker, Kubernetes, CI/CD, IaC; deployment on one major cloud.

Responsibilities

• Design, develop, and operate scalable backend services and APIs for enterprise AI applications.
• Build AI platform capabilities: model access, routing, gateways, lifecycles, tool integration, model serving.
• Develop secure identity, authentication, authorization, and secrets management for AI platforms.
• Automate deployment across dev/test/prod using cloud-native tech, containers, Kubernetes, CI/CD, IaC.
• Create observability through logging, metrics, tracing, monitoring, alerting, and cost visibility.
• Support AI evaluation, model lifecycle, MLOps, configuration, versioning, and production operations.
• Design scalable, available, resilient platform services for hybrid cloud and restricted environments.
• Collaborate with AI architecture, data, security, and product teams to deliver reusable platform capabilities.

Skills

Python

Java

C#

Backend services

Cloud platforms

Docker

Kubernetes

CI/CD

Security

Observability

Education

Bachelor's degree in Computer Science/Engineering

Advanced degree (preferred) in related field

Tools

Docker

Kubernetes

CI/CD

Infrastructure as Code

Job description

RTX is seeking an experienced AI Platform Engineer to design, build, and operate reusable software and runtime capabilities enabling enterprise AI solutions across RTX. This hands-on role emphasizes production-grade backend platforms, cloud-native design, and secure, scalable deployments.

You’ll collaborate with AI Architects, Applied AI, cybersecurity, data teams, and enterprise tech to accelerate AI adoption and build reusable capabilities across RTX business units.