Senior architect designing scalable cloud Data, AI, and GenAI solutions for Canadian insurer Intact. Guiding architecture standards, platforms, and cross - functional engineering teams.
About the role
- Senior Partner Solutions Architect shaping GitLab DevSecOps integrations with hyperscalers, AI labs, and technology vendors. Owning partner technical strategy, AI model evaluation, and product integration decisions.
Responsibilities
- Own the end-to-end technical strategy for assigned strategic partners
- Turn partner technology and roadmaps into integration, architecture, and product opportunities across the GitLab platform
- Resolve complex technical issues across GitLab and partner systems, including cloud architecture, tool integrations, and AI model and agent evaluation and integration
- Build working prototypes to validate concepts with partners
- Manage the end-to-end AI model evaluation process with model partners
- Coordinate with R&D on evaluation criteria, timelines, and partnership and product roadmap decisions
- Design and facilitate partner workshops, architecture reviews, and FinOps sessions
- Build business cases for joint technical efforts, defining gains, costs, and resources
- Bring partner requirements and technical feedback into Product and R&D discussions
- Coordinate Engineering, Product, FinOps, Finance, Sales, and Marketing with partner technical teams
- Track cloud, AI, and DevSecOps developments and share findings through documentation, the handbook, reference architectures, and technical content
- Report to the VP, Corporate Development and Strategic Partnerships
Requirements
- Experience as a Senior Solutions Architect, Partner Solutions Architect, Partner Engineer, or in a similar senior technical role
- Experience with technology partners or alliances is strongly preferred
- End-to-end understanding of the software development lifecycle, CI/CD, and DevSecOps
- Ability to use GitLab in depth
- Hands-on cloud architecture experience with at least one hyperscaler: Google Cloud, AWS, or Microsoft Azure
- Working knowledge of AI model evaluation frameworks and agent technology, including LLM APIs, agent frameworks, and MCP
- Experience designing and facilitating technical workshops with senior technical and business stakeholders
- Experience building business cases that scope work, estimate gains and costs, and size resources
- Autonomous, ownership-driven approach
- Clear, concise written and spoken communication
- Ability to travel about once a quarter
- Ability to work hours overlapping with EMEA; US West Coast employees should expect to start around 7 a.m. Pacific Time
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Home office support
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