Senior AI Platform Engineer - Backend, Cloud & MLOps

RTX (Raytheon); Farmington (CT); Hybrid; USD 120,000 - 160,000; Full time

Job summary

RTX Enterprise Services is seeking an experienced AI Platform Engineer to design, build, and operate reusable software, services, infrastructure, and runtimes enabling AI/ML solutions across RTX.

The role focuses on production platform capabilities, not just deploying infrastructure, and requires collaboration with AI Architects, Applied AI Engineers, cybersecurity, data, and enterprise technology teams.

Qualifications

• Minimum of 5+ years hands-on software engineering experience developing backend services and APIs.
• Experience building and operating distributed backend systems in cloud environments.
• Strong understanding of security, identity, and enterprise integration patterns.

Responsibilities

• Design, develop, and operate scalable backend services, APIs, and platform capabilities.
• Build and integrate AI platform capabilities including model access, routing, and tool integration.
• Develop secure capabilities for identity, authentication, authorization, secrets management.

Skills

Backend software engineering

APIs

Distributed systems

Cloud platforms

Education

University Degree in Computer Science / Software Engineering / Engineering or related STEM

Advanced Degree in related field

Tools

Kubernetes

CI/CD

Infrastructure as Code

Job description

RTX Enterprise Services is seeking an experienced AI Platform Engineer to design, build, and operate reusable software, services, infrastructure, and runtimes enabling AI/ML solutions across RTX.

The role focuses on production platform capabilities, not just deploying infrastructure, and requires collaboration with AI Architects, Applied AI Engineers, cybersecurity, data, and enterprise technology teams.