AI Development Manager
$108k - $193k per yearBoeing
AI Development Manager Company: Boeing Vancouver Boeing Vancouver is seeking an 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
- 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.
- 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
- 1+ years of experience delivering agentic AI services or capabilities
- 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
- 3+ years of experience in an AI/ML, data science or analytics leadership role, such as manager, technical lead or principal
- Experience implementing AI safety, quality and governance frameworks in production environments
- 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
$45k - $50k per year
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