AI Development Manager
Boeing is hiring an AI Development Manager. Level rates it ; you can apply on Boeing.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Databricks, RAG and AI safety.
- Level classifies it as a senior role.
- Level lists 758 other open roles at Boeing.
- The role was posted in the last few days.
AI in this role
Company:
Boeing VancouverBoeing 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 ApplicableEducation:
Not ApplicableRelocation:
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 awardShift:
How we rate this
AI Development Manager at Boeing rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What are the limits of Databricks that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG, AI Safety, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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