General Dynamics Mission Systems–Canada
defence and security
SeniorAI&DataArchitect
Neural analysis suggests this role is
optimal for mid candidates.
“Senior AI & Data Architect at General Dynamics Mission Systems–Canada. Skills: AI Platform, Data Platform, AWS, MLOps. Own AI & Data platform roadmap. Define platform outcomes and metrics”
What You'll Achieve.
onboarding speed; model deployment cycle time; reliability; security posture; cost efficiency; user satisfaction; time-to-first-model; time-to-first-agent
Industry & Context.
practical problem-solving
secure AI, GenAI, and data platform capabilities in AWS, regulated-environment requirements, secure landing zone constraints, on-site fitness facilities
What They're Looking For.
Must Have
7+ years in software, platform, data, or machine learning technical roles, 3+ years delivering AWS-based platforms at scale, Deep hands-on experience with Amazon Bedrock, secure deployment patterns, operational governance, Working knowledge of Bedrock AgentCore and Strands, agentic design patterns, tool integration, experience with Amazon SageMaker, lead the deployment of a production-grade MLOps capability, design secure architectures in regulated environments, encryption/KMS, IAM least privilege, network boundaries, centralized logging, Infrastructure as Code, CI/CD automation for platform delivery, lead delivery through cross-functional teams
Nice to Have
AWS Machine Learning Specialty, Solutions Architect Professional, data governance and cataloging patterns, metadata management, lineage, access controls, GenAI evaluation frameworks, safety testing, red teaming, prompt/version governance, IT service ownership, platform lifecycle management, service delivery models, SOC/SIEM integration patterns for AI and data telemetry
What You'll Do.
Own AI & Data platform roadmap
Define platform outcomes and metrics
Align priorities with governance
Lead secure deployment of Amazon Bedrock
Build reusable GenAI patterns
Drive implementation of Bedrock AgentCore
Define secure GenAI paved roads
Lead deployment of MLOps capability
Establish standard pipelines
Implement reference architectures
Enable program teams with templates
Define secure data platform patterns
Build secure data access patterns
Ensure alignment with enterprise logging
Operate within secure landing zone
Translate requirements into platform guardrails
Build audit-ready artifacts
Own platform reliability
Conduct user discovery
Improve usability with clear docs
Partner with security teams
Influence standards for AI governance
How You'll Work.
Team & Collaboration
Partner with security, architecture, and program engineering teams; Lead delivery through cross-functional teams
Process & Methodology
define priorities, epics, and release plans
Full Job Description
Build bold. Deliver impact. Win together. At General Dynamics Mission Systems–Canada (GDMS), we’re not just engineering technology — we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we serve. If you’re looking for meaningful work that contributes to a safer, more secure world, you’ll find purpose here. Every day, your skills will directly impact programs that matter. 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 repeatably,aligned 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 applica
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