• Scope of work

The Senior Computer, Application Support specialist will provide technical expertise and coordination in the design, implementation, and sustainment of emerging technology solutions to support cross-domain interoperability, secure data exchange, and digital modernization initiatives aligned with the organization’s digital transformation and operational priorities. This includes configuring SCED/TIP connectors, enforcing RBAC policies, and supporting secure orchestration of AI/data workflows across Google Cloud and JDCP AWS environments.

• Tasks

For the identified tasks below – the Senior Computer, Application Support specialist will provide temporary and urgent individual or team-based support;

• Support the design and implementation of AI/data platforms (Palantir) and secure cross-domain solutions, ensuring alignment with CAF operational and security
• Facilitate coordination across CAF operators, Cloud teams, and vendors to enable secure cross-domain data exchange and AI-enabled analytics
• Advise and instruct end-users and technical teams on AI/data platforms, cross-domain solutions, and secure Cloud workflows
• Troubleshoot issues related to cross-domain data transfer, Cloud integration, or AI/data platform functionality
• Responding to technical difficulties in AI or cross-domain systems, ensuring operational continuity and adherence to security policies
• Apply GC security standards, Zero-Trust principles, and ITSG-33 compliance to cross-domain and AI/data integration workflows
• Maintain and support secure connectivity between Google Cloud, JDCP AWS, CSNI, and other CAF operational environments
• Track issues, resolutions, and best practices for AI platforms and cross-domain operations to support knowledge transfer
• Ensure AI and cross-domain solutions meet engineering standards, operational requirements, and security compliance
• Implement and configure infrastructure components (e.g., SCED/TIP connectors, RBAC policies) to support secure data transfer, AI/data orchestration, and cloud integration.
• Analyze and resolve interoperability or integration issues between Cloud, cross-domain, and AI/data systems
• Identify opportunities to improve AI/data workflows, cross-domain integration, or Cloud connectivity in support of CAF operations
• Contribute to upgrades or migration initiatives for AI platforms, Cloud workloads, or cross-domain solutions, ensuring minimal operational disruption.

Additional mandatory criteria

Number	Additional mandatory criteria (maximum of two (2) extra)	Cross reference to proposal [bidder to insert]
M1	The proposed resource must have: · Master’s degree in a relevant discipline: Computer Science, Information Technology, Engineering, or a relevant field with specialization in one of these areas, and; · DNDAF (Department of National Defence Architecture Framework) certification. · Palantir (6 months experience within the last 5 years) Proof of education and certification must be provided at bid submission.	bidder to insert
M2	Must clearly demonstrate 5 (five) years’ experience within the past 10 years, designing, implementing, and supporting secure cross-domain data transfer solutions, including integration of AI/data analytics platforms with Government of Canada-compliant Cloud environments.	bidder to insert
M3	Must provide copies of all relevant documentation—such as degrees, diplomas, certifications, and other professional designations
M4	Provide 2 reference