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# Principal Software Engineer - Digital Engineering AI Enablement and Automation (AEA) (Onsite)

- **Company:** RTX
- **Location:** Cedar Rapids, IA, United States
- **Experience:** Expert
- **Salary:** $107,500 - $204,500
- **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, Software Engineering, Systems Integration, Evaluation Pipelines, Prompt Engineering, Generative AI, Agentic-AI, Machine Learning Operations, Human in the Loop
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/principal-software-engineer-digital-engineering-ai-enablement-and-automation-aea-onsite-cedar-rapids-ia--6e826802-5ecd-41c4-9c8f-6493badc207d

## About the Role

* Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience oran 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.