Production-Ready AI Architect

RTX; Cambridge (MA); Hybrid; USD 157,000 - 299,000; Full time

Benefits offered by this job

Medical benefits

401(k) match

Paid time off

Job summary

RTX, the world’s largest aerospace and defense company, seeks an AI Accelerator Engineer to mature early-stage AI prototypes and deploy them as secure, scalable enterprise applications on RTX’s AI Factory. You will translate prototypes into production-grade microservices and design integration patterns across diverse research and development teams.

Responsibilities include owning service architectures for onboarding new AI capabilities, building AWS/Azure cloud services, and ensuring compliance

Qualifications

• Typically requires a STEM degree and ~12 years of 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 (PyTorch, TensorFlow).
• Minimum 1 year with integrating AI/ML models into software applications.

Responsibilities

• Convert AI prototypes into production-grade applications, microservices, and pipelines deployable on the RTX AI Factory.
• Design interfaces and integration patterns for plug‑in AI capabilities from diverse domains.
• Own service architecture decisions to onboard, scale, and retire AI capabilities with minimal rework.
• Partner with infrastructure teams to influence platform evolution based on needs.
• Build and deploy cloud-based services on AWS and Azure following RTX practices.
• Integrate AI/ML models into enterprise applications.
• Implement CI/CD, testing, observability, and secure deployment workflows.
• Ensure compliance with RTX cybersecurity, infrastructure, and regulatory requirements.
• Contribute reusable components and patterns for the RTX Factory platform.

Skills

Python

C++

Back-end frameworks

CI/CD

DevOps

LLMs

RAG workflows

PyTorch

TensorFlow

APIs

Education

STEM degree

Tools

Docker

Kubernetes

Job description

RTX, the world’s largest aerospace and defense company, seeks an AI Accelerator Engineer to mature early-stage AI prototypes and deploy them as secure, scalable enterprise applications on RTX’s AI Factory. You will translate prototypes into production-grade microservices and design integration patterns across diverse research and development teams.

Responsibilities include owning service architectures for onboarding new AI capabilities, building AWS/Azure cloud services, and ensuring compliance