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Added 8 mins ago
B&
Administrative Assistant
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Toronto, ON · Scarborough, ON
- $47,500 to $57,500 CAD / year
- Full-time
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Added 8 mins ago
TH
Overnight Freight Associate - Part Time (Kanata)
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Ottawa, ON
- Part-time
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Toronto, ON
- $70 to $75 CAD / hour
- Contract
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Added 8 mins ago
GL
Store Manager
goeasy Ltd.
Corner Brook, NL
- Full-time
Experience in training and managing a small team
Added 8 mins ago
NI
Child Care Manager
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Campbell River, BC
- Full-time
NIMA is seeking an experienced Child Care Manager to support the development and opening of our new 61-space child care centre in Campbell River and provide leadership for its ongoing…
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Research Assistant-1
The University of British Columbia
Vancouver, BC
- $4,597.8 to $5,469.59 CAD / month
- Full-time
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Learning and Development support tailored to you
Added 8 mins ago
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Vancouver, BC · UBCV | MacIsaac Health Building (GWHB)
- $5,027 to $5,413 CAD / month
- Full-time
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University of British Columbia
Vancouver, BC · UBCV | Friedman Building (FRDM)
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- Full-time
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Added 8 mins ago
TU
Clinical Placement Operations Manager
The University of British Columbia
Vancouver, BC
- $5,692.25 to $8,179.5 CAD / month
- Full-time
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Added 8 mins ago
TU
Research Assistant-2
The University of British Columbia
Vancouver, BC
- $4,597.8 to $5,469.59 CAD / month
- Full-time
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Added 8 mins ago
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HR Manager
The University of British Columbia
Vancouver, BC
- $7,158.42 to $10,292.25 CAD / month
- Full-time
The Compensation Range is the span between the minimum and maximum base salary for a position. The midpoint of the range is approximately halfway between the minimum and the maximum and…
Added 8 mins ago
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Lumber Sales Associate Part-Time - 7265 Saskatoon South
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- Part-time
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Boeing

AI Development Manager

Richmond, BC, Canada
Vancouver, BC, Canada
CAN - Richmond, Canada, Canada

Salary pay range: CAD 108,000.00 – CAD 193,000.00 · Full-time

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Job details

Pay: Salary pay range: CAD 108,000.00 – CAD 193,000.00
Job type: Full-time
Apply by: Nov 21, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

AI Development Manager

Company:

Boeing Vancouver

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

Language Requirements:

Not Applicable

Education:

Not Applicable

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.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

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More about this job

Responsibilities

The AI Development Manager will lead a team of data scientists and engineers to develop and deploy agentic AI capabilities for commercial aviation products. They are responsible for ensuring the safety, quality, and security of these AI solutions while building cross-functional partnerships across the organization.

Requirements

Candidates must have at least 5 years of experience in AI/ML or data science, including production deployment, and at least 3 years in a leadership role. Proficiency in delivering agentic AI services and implementing governance frameworks is required, along with legal authorization to work in Canada.

Skills

AI development
Machine learning
Data science
Agentic AI
Leadership
Software engineering
Data engineering
AI governance
Cloud computing
Azure Databricks
RAG
GraphRAG
Stakeholder management
Technical strategy
Product management
Aviation domain

Visa sponsorship

Not detected in the job text

Keywords

AI Development
Machine Learning
Data Science
Agentic AI
Boeing Global Services
Digital Services
Cloud Computing
Azure
AWS
GCP
Azure Databricks
RAG
Knowledge Graphs
GraphRAG
AI Governance
Software Development
Aviation
Data Engineering
Technical Leadership
Product Roadmap
Cybersecurity
Controlled Goods Program
Stakeholder Management
Cross-functional Collaboration
AI Safety
Quality Assurance
Platform Development
Enterprise Architecture
Data Professionals
Commercial Aviation

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