General Dynamics Mission Systems
Defence and Security
SeniorAI&DataArchitect
Neural analysis suggests this role is
optimal for mid candidates.
“Senior AI & Data Architect at General Dynamics Mission Systems. Skills: AI Platform, Data Platform, AWS, MLOps, GenAI. Own AI & Data platform roadmap. Define platform priorities”
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.
Root cause analysis; Troubleshooting
Security clearance
What They're Looking For.
Must Have
7+ years technical roles, 3+ years AWS platforms, Deep Amazon Bedrock experience, Secure deployment patterns, Operational governance, Working knowledge Bedrock AgentCore, Working knowledge Bedrock Strands, Agentic design patterns, Tool integration, Amazon SageMaker experience, Lead MLOps deployment, Design secure architectures, Encryption/KMS, IAM least privilege, Network boundaries, Centralized logging, Infrastructure as Code, CI/CD automation
Nice to Have
AWS Machine Learning Specialty, AWS Solutions Architect Professional, Data governance patterns, Data cataloging patterns, Metadata management, Lineage, Access controls, GenAI evaluation frameworks, Safety testing, Red teaming, Prompt governance, Version governance
What You'll Do.
Own AI & Data platform roadmap
Define platform priorities
Define platform epics
Define platform release plans
Establish platform outcomes
Establish platform metrics
Align priorities with governance
Align priorities with enterprise architecture
Align priorities with security/compliance
Align priorities with program delivery
Lead secure deployment of Bedrock
Operationalize Bedrock capabilities
Build reusable GenAI patterns
Drive Bedrock AgentCore implementation
Drive Bedrock Strands implementation
Define secure GenAI paved roads
Lead SageMaker deployment
Deploy MLOps capability
Establish standard ML pipelines
Implement reference architectures
Enable program teams with templates
Enable program teams with starter kits
Enable program teams with CI/CD patterns
Define secure data platform patterns
Build secure data access patterns
Ensure alignment with logging requirements
Ensure alignment with monitoring requirements
Ensure alignment with audit evidence requirements
Operate within secure landing zone
Translate requirements into guardrails
Translate requirements into automation
Build audit-ready artifacts
Own platform reliability
Manage platform incidents
Manage platform change control
Conduct user discovery
Reduce platform friction
Improve time-to-first-model
Improve time-to-first-agent
Improve platform usability
Provide clear documentation
Provide onboarding paths
Provide opinionated golden paths
Partner with security teams
Partner with architecture teams
Partner with program engineering teams
Influence AI governance standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Security teams; Architecture teams; Program engineering teams
Communication Scope
Technical documentation
Process & Methodology
Roadmap planning, Backlog ownership
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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