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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Integration Architect - AI Accelerator - **Company:** RTX - **Location:** Cambridge, MA, United States - **Salary:** $157,200.0 - $298,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Software Applications, Automation of Tests, Microsoft Azure, C++ (Programming Language), Cyber Security, Continuous Integration, Distributed Systems, Github, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Software Deployment, Software Systems, SQL Databases, AI Infrastructure, Enterprise Software Applications, Pytorch, Large Language Models, Software Security, Build Management, Deployment Automation, Machine Learning Operations, Restful APIs, Docker, Jenkins, Microservices - **Published:** August 27, 2026 - **Apply:** https://dejobs.org/x/x/1922F848C9A746269A8F3B80D0260DB0/job/ ## About the Role * 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. * Minimum 5 year in Python, C++, and modern back-end frameworks. * Minimum 3 year experience with CI/CD pipelines and DevOps automation tools (GitHub Actions, Jenkins, etc.). * Minimum 1 year with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow). * Minimum 1 year with integrating AI/ML models into software applications., * Demonstrated experience shipping AI or software systems into regulated or compliance-constrained production environments. * Experience evaluating and hardening in-flight technical work against production and compliance criteria. * Knowledge of MLOps practices (model registry, monitoring, pipelines). Experience deploying applications on AWS and/or Azure. * Knowledge of REST APIs, microservices, SQL databases, and distributed systems. * Experience with Docker and Kubernetes. * Experience delivering solutions in regulated or security-conscious environments. * Strong problem-solving skills, initiative, and ability to define technical direction. * Strong analytical, problem-solving, written/verbal communication, and interpersonal skills with track record of teamwork, adaptability, innovation, and initiative. * Clear and effective communication with all levels of management, business development, researchers, and customers. * Ability to approach open-ended tough problems as an opportunity to innovate. * Ability to focus on results in a fast-paced, dynamic team environment. * Ability to work independently with limited direction and in multidisciplinary environment. ## Description 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. * Ensure compliance with RTX cybersecurity, infrastructure, and regulatory requirements. * Contribute reusable components and patterns that strengthen the AI Factory platform., Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. ## Related Videos - [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)