Senior Software Engineering Manager, Artificial Intelligence

The Boeing Company is currently seeking a Senior Software Engineering Manager to support their Boeing Artificial Intelligence Applications & Innovations organization. This role involves leading a geographically distributed engineering team to design, develop, and deploy AI-enabled systems that enhance productivity and innovation across Boeing's product and service portfolios.

Responsibilities

• Lead end-to-end product development for AI-enabled systems, ensuring technical execution, cross-functional alignment, and adherence to principled AI practices
• Lead teams that design, develop, deploy, maintain, and sustain AI-enabled systems and products
• Supervise onsite, distributed, and remote engineering teams, optimizing collaboration and productivity across locations
• Oversee portfolio planning and coordinate closely with Technical Product Managers to align priorities, roadmaps, and delivery outcomes
• Provide project leadership, including scheduling, resource allocation, risk management, and milestone accountability
• Apply Agile development methodologies to enable iterative delivery, rapid feedback cycles, and continuous improvement
• Drive innovation by challenging current practices and applying creative, evidence-based solutions to complex problems
• Define AI product strategy and frame problems to deliver measurable business and operational impact
• Promote data literacy and apply data-product thinking to ensure robust data pipelines, feature engineering, and lifecycle management
• Implement model-driven development grounded in machine learning fundamentals, reproducibility, and performance validation
• Apply human-centered design principles to ensure usability, adoption, and effective integration with workflows
• Champion responsible AI practices and governance, including fairness, transparency, explainability, and regulatory compliance
• Ensure adherence to appropriate standards, processes, procedures, and tools throughout the system development life cycle
• Build and sustain effective partnerships with international teams, integrate global contributors into core workflows, and apply process improvement practices to optimize delivery
• Coordinate with international teams to achieve shared business objectives and align on priorities
• Integrate global contributors into domestic team workflows to ensure seamless collaboration, knowledge transfer, and consistent delivery practices
• Apply LEAN, Six Sigma, and other process improvement methodologies to manufacturing and application development across distributed teams
• Design and implement standardized processes, metrics, and tooling that reduce variation and improve throughput across geographic boundaries
• Foster a culture of partnership, inclusivity, and mutual accountability that empowers distributed teams to own outcomes
• Experiment with and adopt innovative collaboration models and technologies to maximize effectiveness of globally distributed teams
• Maintain continuous learning to remain current with emerging AI technologies, techniques, and industry best practices
• Lead change management initiatives to drive adoption, minimize disruption, and sustain improvements
• Apply business acumen in aviation, aerospace, and defense to align technical decisions with strategic and operational imperatives
• Prioritize customer needs and deliver products that meet the highest standards of safety and quality
• Communicate clearly and persuasively, both verbally and in writing, across all levels of the engineering organization, including executive leadership
• Manage budgeting and cost estimating using frameworks such as Earned Value Management, Manufacturing Estimate at Complete, and cost‑benefit analysis to inform investment and delivery decisions
• Manage and provide leadership to employees and mid-level managers engaged in AI-enabled system design, development, deployment, maintenance and sustainment
• Foster employee development, motivation, and performance management for both individual contributors and mid-level managers
• Acquire and cultivate AI talent and allocate staff to support organizational activities and initiatives
• Develop and execute integrated organizational plans, policies, and procedures aligned with business and the Boeing AI strategy, goals, and objectives and technology roadmap

Skills

• 10+ years managing technical teams involved in software development
• Experience managing or leading AI development teams
• 5+ years using modern software development methodologies
• 5+ years using Agile software development methodologies
• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science
• Advanced degree in engineering, AI, data science, or related field
• 5+ years managing AI development teams strongly preferred
• Expertise in product life cycles specific to aviation and aerospace systems, from concept through disposal
• Experience working across engineering disciplines, including hardware, systems, mechanical, and industrial engineering
• Experience with Scaled Agile Framework (SAFe) and/or serving as an Agile scrum master or Release Train Engineer (RTE). Certifications a plus
• Understand maintenance, retrofit, and sustainment processes for complex systems
• Design and oversee test programs using methods such as design of experiments, formal test-plan development, and robust verification and validation practices

Benefits

• Health insurance
• Flexible spending accounts
• Health savings accounts
• Retirement savings plans
• Life and disability insurance programs
• A number of programs that provide for both paid and unpaid time away from work

Company Overview

• Boeing offers commercial, defense airplanes, space, security systems, and global services. It was founded in 1916, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www.boeing.co.uk.