Senior AI Platform Engineer: Production-Ready Cloud Apps

RTX; East Hartford (CT); Hybrid; USD 132.000 - 252.000; Vollzeit

Zusammenfassung

RTX in East Hartford is seeking an experienced AI Solutions Engineer to mature early-stage AI prototypes into production-grade services. You will build enterprise-ready AI applications and integrate ML models across RTX’s platforms.

Responsibilities include deploying on AWS/Azure, implementing CI/CD, security, and observability, and collaborating with R&D to scale the AI Factory platform. Strong Python/C++ and ML framework experience required.

Qualifikationen

• Typically requires a STEM degree and a minimum of 10 years of relevant experience.
• Proficiency in Python, C++, and modern back-end frameworks.
• Experience with CI/CD pipelines and DevOps automation tools (GitHub Actions, Jenkins, etc.).
• Familiarity with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow).
• Familiarity with integrating AI/ML models into software applications.

Aufgaben

• Convert AI prototypes into production-grade applications, microservices, and pipelines deployable on the AI Factory.
• Build and deploy cloud-based services on AWS and Azure following RTX best practices.
• Integrate AI/ML models into enterprise applications.
• Implement CI/CD, automated testing, observability, and secure deployment workflows.
• Collaborate with R&D teams to refine prototype functionality for enterprise use.
• Ensure compliance with RTX cybersecurity, infrastructure, and regulatory requirements.
• Participate in architecture reviews, code reviews, and agile development activities.
• Contribute reusable components and patterns that strengthen the AI Factory platform.

Kenntnisse

Python

C++

CI/CD

DevOps

LLMs

REST APIs

Ausbildung

STEM degree

Tools

Docker

Kubernetes

PyTorch

TensorFlow

AWS

Azure

Jobbeschreibung

RTX in East Hartford is seeking an experienced AI Solutions Engineer to mature early-stage AI prototypes into production-grade services. You will build enterprise-ready AI applications and integrate ML models across RTX’s platforms.

Responsibilities include deploying on AWS/Azure, implementing CI/CD, security, and observability, and collaborating with R&D to scale the AI Factory platform. Strong Python/C++ and ML framework experience required.