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

Location: US-IA-CEDAR RAPIDS-124 ~ 400 Collins Rd NE ~ BLDG 124

 Position Role Type: Onsite

 U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

 Security Clearance Type: None/Not Required

 Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. Collins Aerospace, a business unit of RTX Corporation, is seeking a talented and innovative Artificial Intelligence and Automation Engineer to drive engineering efficiency by leveraging Artificial Intelligence (AI) and solution automation.   The Principal Software Engineer – Digital Engineering AI Enablement and Automation (AEA) will play a pivotal role in driving engineering efficiency across Collins Aerospace by leveraging Artificial Intelligence (AI) and solution automation to deliver transformative solutions. This position will focus on enabling faster cycle times, reducing total lifecycle costs, minimizing technical debt, and enhancing reusability across all business units within Collins Aerospace and engineering disciplines. The role requires a forward-thinking engineer who thrives on innovation, collaboration, and delivering impactful solutions at scale.

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.

You Must Have: 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,