UE
Sessional lecturer teaching a University of Toronto course on educational technology, AI, and active learning classrooms. Designing content, assessing students, and supervising assigned TAs.
About the role
- AI Development Manager leading production agentic AI/ML platforms for Boeing’s commercial aviation services. Managing technical teams, AI governance, safety, quality and enterprise collaboration.
Responsibilities
- Lead a platform capability development team of data scientists, AI engineers and other data professionals.
- Develop and deploy agentic AI capabilities supporting commercial offerings.
- Ensure the safety, quality and security of AI capabilities.
- Lead delivery of reusable AI/ML services, components and tooling for commercial products and services.
- Develop and sustain platform-level harnesses, agents and tools across the AI lifecycle.
- Advise on and develop AI guardrails and evaluation frameworks with AI Governance leadership.
- Help product teams adopt shared platform AI capabilities and meet safety, quality and governance requirements.
- Build relationships with Boeing business units and enterprise functions, including engineering, IT, cybersecurity, safety, quality and governance stakeholders.
- Establish technical strategies, priorities and delivery roadmaps with product and platform management.
- Manage, coach and motivate employees and contractors across data science, AI engineering, data engineering and software development.
- Recruit talent and support professional growth.
- Guide capabilities from ideas and requirements through deployment and operation.
- Maintain customer and stakeholder relationships and measure adoption, quality, reliability and business value.
Requirements
- 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 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.
- Successful candidates must satisfy the Company’s Conflict of Interest (COI) assessment process.
- Bachelor’s degree or higher in computer science or a related field, or equivalent experience (preferred).
- Experience leading AI platform or enablement capabilities supporting multiple products or teams (preferred).
- Experience collaborating across business units or enterprise functions in a large organization (preferred).
- Experience with cloud computing and hosted cloud services, such as Azure, AWS or GCP, particularly Azure Databricks (preferred).
- Experience with retrieval-augmented generation (RAG), knowledge graphs or graph-based retrieval (GraphRAG) (preferred).
- Experience in a software development management role (preferred).
- Experience in the aviation domain (preferred).
Benefits
- Hybrid work arrangement combining remote and in-office work
- Relocation assistance is not a negotiable benefit for this position
- Employer will not sponsor applicants for employment visa status
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