Hiring: AI Integration Architect – AI Accelerator Company: RTX Location: Cambridge, MA Job Posted Time: 2026-09-16 11:23:42 Employment Type: Remote Target Skills & Keywords : AWS, Azure, C, C++, CI/CD, Docker, GitHub Actions, Jenkins, Kubernetes, LLM, MLOps, Microservices, Model Registry, PyTorch, Python, R, RAG, REST, SQL, Security Clearance, TensorFlow About the job Experience: •12 years of prior relevant experience unless prohibited by local laws/regulations. •5 year in Python, C++, and modern back-end frameworks. •3 year experience with CI/CD pipelines and DevOps automation tools. •1 year with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow). •1 year with integrating AI/ML models into software applications. Required Skills: •The AI Accelerator works across RTX to mature early-stage AI prototypes and deploy them as secure, scalable applications on the AI Factory, RTX’s common AI infrastructure. This role is responsible for building enterprise-ready AI solutions based on models and capabilities developed by research and development teams across RTX. •Convert AI prototypes into production-grade applications, microservices, and pipelines deployable on the AI Factory, a constrained, regulated production environment. •Design interfaces and integration patterns that allow independently developed AI capabilities, from varied domains and R&D teams, to plug into the AI Factory, avoiding significant rework per application. •Own service architecture decisions that enable new AI capabilities to be onboarded, scaled, and retired with minimal rework. •Partner with the AI Factory infrastructure team to influence platform and infrastructure evolution based on real application demands. •Build and deploy cloud-based services on AWS and Azure following RTX best practices. •Integrate AI/ML models (LLMs, analytics, perception, RAG pipelines) into enterprise applications. •Implement CI/CD, automated testing, observability, and secure deployment workflows. Qualifications: •Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 12 years of prior relevant experience unless prohibited by local laws/regulations. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!