Expert Product Architect AI/ML

About the role and what you'll be doing:

Ensono is building a new portfolio of Managed AI Services, and we need a Product Architect to design the technical foundation. This is a senior, hands-on role where you'll architect how our AI services are built, integrated, and delivered to enterprise clients.

You'll work at the intersection of cloud platforms, AI/ML technologies, and managed services operations—designing solutions that integrate third-party AI capabilities (Azure OpenAI, AWS Bedrock, etc.) into scalable, secure, enterprise-grade managed offerings. This isn't about building AI models from scratch; it's about architecting the infrastructure, integrations, and operational frameworks that allow Ensono to deliver AI services reliably to clients.

This is not a client-facing role, but at times you'll engage with customers to understand their needs, translate those into technical architectures, and collaborate closely with Security, the CTO office, and Operations to ensure our services are production-ready.

If you have deep experience in cloud architecture, MLOps, and the managed services business model—and you want to shape a new product line from the ground up—this is your role.

Technical Architecture (70%)

• Design the end-to-end technical architecture for Ensono's Managed AI Service portfolio, including infrastructure, integrations, and operational tooling
• Architect solutions that integrate third-party AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) into Ensono's managed services delivery model
• Define reference architectures for MLOps pipelines, including model deployment, monitoring, drift detection, and retraining orchestration
• Design AI-specific observability and monitoring frameworks that enable proactive managed services delivery
• Architect AI FinOps dashboards and cost governance tooling to provide clients visibility into AI spend (tokens, GPU, APIs)
• Work with security teams to define security and governance architectures for AI workloads, including prompt security, data loss prevention, and access control
• Evaluate and recommend build vs. buy decisions for platform components

Collaboration & Stakeholder Engagement (30%)

• Partner with Security to ensure AI architectures meet enterprise security and compliance requirements
• Work with the CTO office to align AI service architecture with Ensono's broader technology strategy