AI Platform Architect

Intact Insurance is recruiting for the role of AI Platform Architect. Help shape a next-generation AI Platform by designing scalable, secure foundations that support AI solutions across the business. The role also covers architectural standards, governance, and integration across cloud environments and internal systems.

What you’ll do

• Define and own the architecture for a secure, scalable multi-cloud AI Platform across Azure and AWS.
• Design platform capabilities such as ML pipelines, model hosting, observability, GenAI patterns and AI safety controls.
• Evaluate AI tooling and make evidence-based technology decisions that balance engineering, security, governance and cost.
• Create architectural standards, blueprints and documentation to support consistent platform development.
• Support AI use case delivery by aligning solution designs with platform capabilities and governance requirements.
• Provide architectural oversight during implementation and embed responsible AI, security and compliance expectations.
• Represent the AI Platform in governance forums and align designs with wider cloud, data and enterprise architecture strategies.
• Partner with engineering, data science and business teams to meet diverse and evolving user needs.

What they’re looking for

• Experience designing enterprise-grade AI or ML platforms across Azure and AWS.
• Strong knowledge of ML and AI platform components, including pipelines, orchestration, feature stores, model hosting and observability.
• Expertise in GenAI architecture, including LLM hosting, vector databases, RAG patterns, guardrails and evaluation frameworks.
• Solid understanding of multi-cloud architecture, networking, IAM, security and cross-cloud integration.
• Experience comparing AI and ML tooling and making clear, evidence-based architectural recommendations.
• Awareness of responsible AI, data-protection and regulatory expectations relevant to AI and ML.
• Skilled in producing high-quality architectural models and documentation.
• Experience designing scalable, cost-efficient training and inference architectures.

Additional role information

• Troubleshooting complex issues and supporting engineering and ML teams are part of the role.
• Background in enterprise or regulated environments is beneficial.