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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Artificial Intelligence - **Company:** Boeing Company - **Location:** Huntsville, AL, United States - **Experience:** Expert - **Salary:** $198,900.0 - $269,100.0 - **Contract:** Contract - **Skills:** Agile Methodology, Artificial Intelligence, Machine Learning, Scrum Methodology, Software Product Management, Systems Development Life Cycle, Scaled Agile Framework, Software Engineering, Verification and Validation (Software), User-Centered Design, Model-Driven Development, Performance Testing, Feature Engineering, Information Technology, Data Pipelines - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e79269201d871dd4 ## About the Role * Bachelor of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science or engineering * Ability to Obtain U.S. Secret Security Clearance * 10+ years managing technical teams involved in AI and/or software development * 10+ years in aviation and/or aerospace and defense sector * 5+ years using modern software development methodologies * 5+ years using Agile software development methodologies Preferred Qualifications (Desired Skills/Experience): * 5+ years managing AI development teams * Advanced degree in engineering, AI, data science, or related field * Active U.S. Secret Security Clearance * 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., Ability to travel up to 25% of the time, This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. ยง120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee., Bachelor's Degree or Equivalent Required, This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. ## Description The Senior Manager, Artificial Intelligence will 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 for 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. This role is responsible for leading the transition of research and development outputs into products, services, and production systems, ensuring technical integrity, compliance, and operational scalability. * Lead transitions from prototype to production, defining clear handoffs, validation criteria, and acceptance gates. * Build and maintain strong relationships and partnerships with customers, stakeholders, peers, partners, and direct reports. * Collaborate with government research agencies (e.g., DARPA, ARL, ONR), government regulatory agencies (e.g., FAA, EASA) and external research partners to align technical objectives, deliverables, and compliance requirements. * Lead university partnership initiatives. * Employ systems thinking to design resilient architectures, identify systemic risks, and ensure interoperability with existing platforms and production environments. * Drive innovation by introducing practices and solutions that extend beyond current approaches, using creative, evidence-based methods. The incumbent will 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. * 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. The Senior Manager, Artificial Intelligence will demonstrate continuous learning, strong business acumen, and clear communication while delivering safe, high-quality AI products and managing change and financial accountability. * 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. Additional features of the role: * 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. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [ShapeShift: Reinventing Agile for a B2B SaaS Scale-Up](https://www.wearedevelopers.com/videos/1655-shapeshift-reinventing-agile-for-a-b2b-saas-scale-up) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Will AI replace Software Engineers?](https://www.wearedevelopers.com/magazine/340-will-ai-replace-software-engineers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)