AI Development Manager

Job Description
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Vancouver is seeking a AI Development Manager to join the Boeing Global Services (BGS) - Digital Services Technology organization, reporting to the Senior Manager of AI & Analytics.
This position is based in our Richmond, British Columbia office, with a hybrid work arrangement combining remote and in-office work.
BGS Digital Services delivers software, data products and platform solutions that enable commercial aviation around the world. As the AI Development Manager, you will join a diverse, international team and -- with your leadership -- you will help deliver a generation of AI-enabled and intelligent solutions to global aviation.
This role leads a platform capability development team of data scientists, AI engineers and other data professionals, with two core accountabilities:

• developing and deploying agentic AI capabilities supporting commercial offerings and
• ensuring the safety, quality and security of those capabilities

You will lead the development of shared AI/ML capabilities powering commercial products and services. Working with product and platform teams, you will own, develop and sustain harnesses and agents meeting business throughout the AI lifecycle and enable teams to deliver reliable AI-powered products. You will be responsible for their safety, quality and security in partnership with your governance stakeholders and leaders.
We are seeking a technically credible leader with hands-on experience delivering production AI/ML solutions, particularly agentic systems. You will bring the practical understanding needed to guide engineering decisions, assess technical tradeoffs and develop strong technical talent.
This role also requires strong collaboration across Boeing. You will build relationships with other business units and enterprise functions to align technical approaches, leverage shared capabilities and expertise, and contribute to broader Boeing AI initiatives. You will translate relevant enterprise requirements into practical implementation within Digital Services and represent the portfolio's needs and experience in cross-Boeing collaboration.
Position Responsibilities:

• Develop Shared AI/ML Capabilities: Lead delivery of high-priority, reusable AI/ML services, components and tooling for commercial products and services. These will be platform-level harnesses, agents and tools, supporting multiple customer-facing offerings.
• Steer AI Safety & Quality: partnering with the AI Governance leadership, advise on and develop both guardrails and evaluation frameworks
• Enable Product Teams: Help teams adopt shared platform AI capabilities and meet established safety, quality and governance requirements through practical tooling, guidance and engineering support.
• Build Partnerships Across Boeing: Develop and maintain relationships with other Boeing business units and functions, including engineering, IT, cybersecurity, safety, quality and governance stakeholders. Represent Digital Services in relevant AI initiatives, share expertise, identify opportunities for reuse and collaboration, and align portfolio delivery with enterprise requirements.
• Develop Integrated Roadmaps: Partner with product and platform management to establish technical strategies, priorities and delivery roadmaps, balancing business value, technical risk, dependencies and team capacity.
• Lead and Develop People: Manage, coach and motivate employees and contractors across data science, AI engineering, data engineering and software development. Recruit talent and support professional growth.
• Drive Delivery and Customer Outcomes: Guide capabilities from ideas and requirements through deployment and operation. Maintain effective customer and stakeholder relationships and measure adoption, quality, reliability and business value.

Basic Qualifications (Required Skills/Experience):

• Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) OR have completed the Boeing internal course "Exploring Leadership."
• 5+ years of experience delivering AI/ML, data science or analytics solutions in a commercial environment, including production deployment.
• 3+ years of experience in an AI/ML, data science or analytics leadership role, such as manager, technical lead or principal.
• 1+ years of experience delivering agentic AI services or capabilities.
• Experience implementing AI safety, quality and governance frameworks in production environments.
• Demonstrated ability to build cross-functional relationships, influence stakeholders and communicate technical decisions to technical and nontechnical audiences.
• Must consent to Canadian Government Controlled Goods Program (CGP) assessment.
• Must be legally authorized to work in Canada.
• Individual must not pose a risk for safeguarding of controlled goods.
• Must be eligible to handle US export-controlled data.

Preferred Qualifications (Desired Skills/Experience):

• Bachelor's degree or higher in computer science or a related field, or equivalent experience.
• Experience leading AI platform or enablement capabilities supporting multiple products or teams.
• Experience collaborating across business units or enterprise functions in a large organization.
• Experience with cloud computing and hosted cloud services, such as Azure, AWS or GCP, particularly Azure Databricks.
• Experience with retrieval-augmented generation (RAG), knowledge graphs or graph-based retrieval (GraphRAG).
• Experience in a software development management role.
• Experience in the aviation domain.

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Additional Information:
This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.
Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Salary pay range: CAD 108,000.00 - CAD 193,000.00
To review the Canadian Controlled Goods and Public Service and Procurement Canada requirements please go to the following government pages below:
https://www.canada.ca/en/public-services-procurement/services/industrial-security.html
https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html
Applications for this position will be accepted until Nov. 21, 2026
Export Control Details:
Non - US based job
Relocation
Relocation assistance is not a negotiable benefit for this position.
Security Clearance
This position requires an active or ability to obtain Canadian Government Controlled Goods Program (CGP) assessment.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
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