Senior AI & Data Platform Owner

We are seeking a Senior IT platform professional to act as the AI & Data Platform Owner within DIGITALcore responsible for the vision roadmap and hands-on delivery of GDMS secure AI GenAI and data platform capabilities in AWS. You will build paved roads that enable GDMS programs and internal teams to deploy AI/ML and data workloads quickly securely and repeatablyaligned to regulated-environment requirements.

This role blends deep platform and infrastructure expertise with service ownership thinking. You will own the platform backlog define reference architectures lead implementation and ensure operational excellence. The ideal candidate is customer-obsessed and UX-minded able to translate real user workflows into secure intuitive IT platform experiences.

Key Responsibilities

AI & Data Platform Ownership

• Own the AI & Data platform roadmap inside DIGITALcore: define priorities epics and release plans for GenAI ML and data foundations in AWS.
• Establish platform outcomes and metrics: onboarding speed model deployment cycle time reliability security posture cost efficiency and user satisfaction.
• Align priorities with DIGITALcore governance enterprise architecture security/compliance and program delivery needs.

GenAI Platform (Amazon Bedrock)

• Lead the secure deployment and operationalization of Amazon Bedrock capabilities (model access guardrails logging governance and cost controls).
• Build reusable patterns for GenAI applications: prompt management RAG patterns embeddings evaluation and production-grade integration patterns.
• Drive implementation and adoption of Bedrock AgentCore and Strands for agentic workflows orchestration patterns tools/functions and safe execution in a controlled environment.
• Define secure GenAI paved roads including identity/access patterns data access boundaries network controls and auditability.

ML Platform & MLOps (Amazon SageMaker)

• Lead the deployment of GDMS MLOps capability using Amazon SageMaker and related AWS services.
• Establish standard pipelines for training evaluation model registry approval gates packaging deployment monitoring and rollback.
• Implement and maintain reference architectures for:
  • Feature engineering and feature store patterns (as applicable)
  • Model training workflows (batch/stream)
  • Real-time and batch inference architectures
  • Model monitoring (drift bias performance) and retraining triggers
• Enable program teams with templates starter kits and repeatable CI/CD patterns for ML workloads.

Data Platform Foundations

• Define and evolve secure data platform patterns under DIGITALcore: data ingestion storage cataloging governance and access controls.
• Build secure compliant data access patterns to support analytics and AI workloads (including data classification handling and least-privilege access).
• Ensure alignment with enterprise logging monitoring and audit evidence requirements for data movement and model usage.

Secure Cloud Construct & Compliance Enablement

• Operate within DIGITALcores secure landing zone constraints: segmentation encryption identity controls logging and evidence generation.
• Translate regulated-environment requirements into platform guardrails and automation (secure-by-default architectures).
• Build audit-ready artifacts: standard configs platform runbooks automated checks control mappings and evidence packages.

Operational Excellence & Customer Experience

• Own platform reliability: SLOs incident management change control and operational runbooks.
• Treat internal users as customers: conduct user discovery map workflows reduce friction and improve time-to-first-model and time-to-first-agent.
• Improve usability with clear docs onboarding paths templates and opinionated golden paths that teams can follow safely.

Cross-Functional Leadership

• Partner with security architecture and program engineering teams to ensure platform capabilities meet mission needs.
• Influence standards for AI governance (usage monitoring guardrails model approval gates and lifecycle controls).

Qualifications :

Required Qualifications

• 7 years in software platform data or machine learning technical roles with 3 years delivering AWS-based platforms at scale. Deep hands-on experience with Amazon Bedrock including secure deployment patterns and operational governance.
• Working knowledge of Bedrock AgentCore and Strands including agentic design patterns and tool integration.
• Strong experience with Amazon SageMaker and the ability to lead the deployment of a production-grade MLOps capability.
• Proven ability to design secure architectures in regulated environments: encryption/KMS IAM least privilege network boundaries and centralized logging.
• Experience with Infrastructure as Code and CI/CD automation for platform delivery.
• Demonstrated ability to lead delivery through cross-functional teams (and vendors/partners if applicable).

Preferred Qualifications

• AWS Machine Learning Specialty and/or Solutions Architect Professional.
• Experience with data governance and cataloging patterns (e.g. metadata management lineage access controls).
• Experience with GenAI evaluation frameworks safety testing red teaming and prompt/version governance.
• Experience with IT service ownership platform lifecycle management or service delivery models.
• Familiarity with SOC/SIEM integration patterns for AI and data telemetry (who did what when and with what data/model).

Additional Information :

What We Offer

The expected Salary range for this position is $95000 - $130000 CAD Annual.  

Our goal is to provide a fair competitive offer based on an assessment of:

• Qualifications
• Relevant experience
• Technical and non-technical skills
• Education and certifications
• Internal equity

Benefits

At General Dynamics Mission SystemsCanada you can enjoy a competitive total rewards package

• Comprehensive medical dental and vision coverage for you and your eligible dependents from day one of employment at no cost to you.
  • Flexible benefit options available (including HCSA).
  • Emergency medical travel insurance.
  • 24/7 virtual health care services.
• Employee & Family Assistance Program (EFAP) counselling life coaching lifestyle change support and financial planning.
• Onsite fitness facilities & employee resource groups.
• Defined Contribution Pension Plan (DCPP) with employer contributions after 3 months of service.
  • Access to financial advisors for investment advice and comprehensive financial planning.
  • Voluntary Registered Retirement Savings Plan (RRSP) accessible from day one.
• Flexible time away to rest and renew with vacation holidays vacation purchase plan and parental leaves (with top up options).
  • Sick leave and disability programs.
• Grow your career your way with free access to a learning platform offering a wide range of courses and resources.
  • Educational Assistance Program to support formal learning.
  • Self-directed mentoring opportunities.
  • Reimbursement for professional and industry-related memberships and dues. 
• Employee discounts on travel home and auto insurance as well as services and activities.
  • Free onsite parking.
  • Annual scholarship program for children of GD employees.
  • Employee social clubs and recreational activities.

Why join us

Purposeful Innovation

Youll work on innovations that genuinely make a difference. Youll apply advanced thinking design expertise and practical problem-solving to help equip military and allied forces with leading-edge systems. Youll be surrounded by some of the brightest minds in the defence sector contributing to next-generation technologies in an environment that celebrates creativity new ideas and modern solutions.

Connection

We believe people do their best work when they feel they belong and their ideas can flourish. Different perspectives experiences and ways of thinking help us innovate and grow. Strong relationships with our teammates help us unite overcome challenges and deliver the world-class quality were known for. Here we are committed to inclusivity and ensures every individual feels valued respected and empowered.

Challenging and Rewarding Career Pathways

Your career path matters to us. From mentorship and regular check-ins with your leader to educational support professional certifications and continuous training youll have the resources you need to thrive. We encourage internal mobility so you can explore different business areas broaden your skillset and expand your network. Youll be working on high-profile impactful projects that challenge your skills expand your expertise and allow you to both learn from mentors and guide others along the way.

Accommodation

If you require accommodation during any stage of the application process please contact Human Resources via .

Closing Date: 

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore if you are interested please submit your application as early as possible.

Remote Work :

No

Employment Type :

Full-time