AI Platform Architect & Production Accelerator

RTX Corporate; East Hartford (CT); Hybrid; USD 157,000 - 299,000; Full time

Job summary

RTX Corporate is seeking an AI Accelerator Engineer to mature early-stage AI prototypes into enterprise-grade services. You will design scalable pipelines, interfaces, and deployment patterns across RTX research and development teams.

You will build on an AI Factory framework, implement secure CI/CD, and work with AWS/Azure to deliver compliant AI solutions in a regulated environment with strong cross-team collaboration.

Qualifications

• Typically requires a STEM degree with substantial experience.
• Minimum 5 years in Python, C++, and modern back-end frameworks.
• Minimum 3 years of CI/CD pipelines and DevOps automation tools.
• Minimum 1 year with LLMs, RAG workflows, and AI frameworks.
• Minimum 1 year with integrating AI/ML models into software applications.

Responsibilities

• Convert AI prototypes into production-grade applications, microservices, and pipelines.
• Design interfaces and integration patterns to plug varied AI capabilities into the AI Factory.
• Own service architecture decisions to onboard, scale, and retire AI capabilities.
• Partner with infrastructure teams to influence platform evolution based on real needs.
• Build and deploy cloud-based services on AWS and Azure following RTX best practices.
• Integrate AI/ML models into enterprise applications with secure deployment workflows.
• Ensure compliance with RTX cybersecurity, infrastructure, and regulatory requirements.
• Contribute reusable components and patterns to strengthen the AI Factory platform.

Skills

Python

C++

Back-end frameworks

CI/CD

DevOps

LLMs

RAG workflows

AI frameworks

AI model integration

Education

STEM degree

Tools

GitHub Actions

Jenkins

Docker

Kubernetes

PyTorch

TensorFlow

Job description

RTX Corporate is seeking an AI Accelerator Engineer to mature early-stage AI prototypes into enterprise-grade services. You will design scalable pipelines, interfaces, and deployment patterns across RTX research and development teams.

You will build on an AI Factory framework, implement secure CI/CD, and work with AWS/Azure to deliver compliant AI solutions in a regulated environment with strong cross-team collaboration.