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Open nowPosted 3 days ago

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

globalhr1,949 open roles

Pay
$86,800 – $165,200 a year
Where
US-IA-CEDAR RAPIDS-124 ~ 400 Collins Rd NE ~ BLDG 124
Work mode
On site
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Your applicationOpen nowSenior Software Engineer – Digital Engineering AI Enablement and Automation (AEA) (Onsite)globalhr · US-IA-CEDAR RAPIDS-124 ~ 400 Collins Rd NE ~ BLDG 124
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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. globalhr postings stay open a median of 2 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 3 days ago

globalhr median: 2 days open

The posting

Date Posted:

2026-09-30



Country:

United States of America



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

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.

What You Will Do

  • 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.

Qualifications You Must Have

  • 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++

Qualifications We Prefer

  • 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).

What We Offer

  • Some of our competitive benefits package includes:
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
  • Tuition reimbursement program
  • Student Loan Repayment Program
  • Life insurance and disability coverage
  • Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
  • Birth, adoption, parental leave benefits
  • Adoption Assistance
  • Autism Benefit
  • Employee Assistance Plan, including up to 10 free counseling sessions
  • Healthy You Incentives, wellness rewards program
  • Doctor on Demand, virtual doctor visits
  • Bright Horizons, child and elder care services
  • Teladoc Medical Experts, second opinion program
  • And more!

Eligible for relocation

Learn More & Apply Now!

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

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world – and access to Collins sites when their work requires in-person meetings.

Apply now and be part of the team that’s redefining aerospace, every day.

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.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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