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

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless prohibited by local laws/regulations and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience
• GenAI implementation patterns skills — 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.
• Programming skills in languages such as Python or C/C++

• 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.
• Evidence of measurable impact from AI initiatives (e.g., reduced cycle time, improved code quality, scaled best practices).

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 Sr. 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.  

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*Please ensure the role type (defined below) is appropriate for your needs before applying to this role.