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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - Digital Engineering AI Enablement and Automation (AEA) (Onsite) - **Company:** RTX - **Location:** Cedar Rapids, IA, United States - **Experience:** Expert - **Salary:** $107,500.0 - $204,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, C++ (Programming Language), Software Quality, Code Review, Computer Programming, Programming Tools, Fiddler (Software), Monitoring of Systems, Python (Programming Language), Machine Learning, Systems Integration, Prompt Engineering, Generative AI, Machine Learning Operations - **Published:** August 8, 2026 - **Apply:** https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-IA-CEDAR-RAPIDS-124--400-Collins-Rd-NE--BLDG-124/Principal-Software-Engineer---Digital-Engineering-AI-Enablement-and-Automation--AEA---Onsite-_01863796-1 ## About the Role * Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience * Experience building internal AI developer tools or platforms - e.g., coding assistants, documentation summarizers, test-case generators, or requirements-traceability aids tailored to safety-critical domains. * Proficiency with GenAI implementation patterns - including retrieval-augmented generation (RAG), prompt engineering, agentic workflows, and strategies to constrain non-deterministic outputs for reliable use in regulated environments. * Hands-on LLMOps experience with evaluation metric platforms such as MLflow (or equivalent tools like Arize, Braintrust, Fiddler) for experiment tracking, model monitoring, tracing, and reproducible evaluation pipelines in regulated environments. * Strong programming skills in languages such as Python or C/C++, * Excellent communication and collaboration skills with ability to translate complex AI architectures into clear guidelines and training for engineering teams. * Experience in integrating AI into safety-critical workflows such as test automation, requirements analysis, code review assistance, or documentation generation with human-in-the-loop controls. * Familiarity with aerospace security and compliance constraints (e.g., ITAR/EAR, on-prem/private cloud deployments). * Evidence of measurable impact from AI initiatives (e.g., reduced cycle time, improved code quality, scaled best practices). ## Description * Lead initiatives to identify manual engineering tasks that can be optimized or replaced with AI-driven solutions and automation. * Develop, implement, and maintain AI and automation tools to enhance engineering workflows and processes. * Collaborate with cross-functional engineering teams to understand their requirements and provide impactful, scalable solutions. * Analyze workflows and data to identify inefficiencies and deliver solutions that improve precision, speed, and productivity. * Stay current with advancements in AI, machine learning, and automation technologies to ensure solutions remain cutting-edge. * Design and execute proof-of-concept projects to validate the effectiveness of proposed AI and automation strategies. * Ensure all solutions comply with Collins Aerospace and RTX standards, including security and performance requirements. * Provide training and documentation to teams to facilitate the adoption of new tools and workflows. * Continuously monitor and refine existing tools to improve their performance and effectiveness. ## Related Videos - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Let's Talk Quality! - Lilia Gargouri](https://www.wearedevelopers.com/videos/1815-let-s-talk-quality-lilia-gargouri) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) - [Developer Experience in the Age of AI](https://www.wearedevelopers.com/videos/1118-developer-experience-in-the-age-of-ai) ## 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) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)