Senior AI & Automation Engineering Leader – Digital Enablement

Collins Aerospace; Cedar Rapids (IA); On-site; USD 132,000 - 252,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) match

Job summary

Collins Aerospace in Cedar Rapids, IA, seeks an Artificial Intelligence and Automation Engineer to drive engineering efficiency through AI and automation. The Senior Engineering Manager will lead a cross-functional team, coach engineers, and ensure delivery of scalable AI-enabled solutions.

You will guide design, development, testing, and deployment across disciplines, recruit top talent, and collaborate with stakeholders to optimize lifecycle costs and performance.

Qualifications

• Requires STEM degree and leadership experience
• Proven ability to lead and develop teams in engineering

Responsibilities

• Lead by serving the team; build trust, remove obstacles, provide clarity and empower engineers.
• Develop engineers and future leaders through coaching, feedback, and career development.
• Engage in design, development, coding, integration, testing, and debugging of embedded software.
• Build and sustain a high-performing team; recruit, foster collaboration, and align work with mission.
• Translate commitments into results; set priorities, manage risks, and deliver with quality.
• Shape work ahead; contribute to bids, estimates, staffing plans, and technical strategies.
• Collaborate across programs to share talent and best practices, not just within the immediate team.
• Foster strong partnerships with Collins Engineering, leadership, program teams, and customers.
• Champion engineering excellence by identifying AI-driven automation opportunities.

Skills

Leadership & team building

Education

STEM degree

Advanced degree + 7+ years

Job description

Collins Aerospace in Cedar Rapids, IA, seeks an Artificial Intelligence and Automation Engineer to drive engineering efficiency through AI and automation. The Senior Engineering Manager will lead a cross-functional team, coach engineers, and ensure delivery of scalable AI-enabled solutions.

You will guide design, development, testing, and deployment across disciplines, recruit top talent, and collaborate with stakeholders to optimize lifecycle costs and performance.