Expert Product Architect AI​/ML

Expert Product Architect AI/ML Remote - United States

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things
!

We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross‑platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.

Honesty – Reliability – Curiosity – Collaboration – Passion

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.

• 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 Fin Ops 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.

• 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.
• Collaborate with Operations to ensure architectures are operationally supportable at scale.
• Engage with Product Management to translate market requirements into technical designs.
• Contribute to service definitions, SLAs, and operational runbooks.

• AI Service Reference Architecture: A comprehensive technical architecture covering infrastructure, MLOps, governance, security, and Fin Ops for the Managed AI Service portfolio.
• Technology Stack Recommendations:
  Evaluated and documented recommendations for third‑party tools and platforms.
• Integration Patterns:
  Defined patterns for integrating Azure AI, AWS AI, and other non‑cloud platforms into Ensono’s delivery model.
• Operational Blueprints:
  Architecture documentation that Operations can use to build and support services.
• Client‑Ready Collateral:
  Technical architecture artifacts suitable for client presentations and proposals.

• 10+ years of experience in technical architecture, cloud engineering, or platform engineering roles.
• Managed services background:
  Deep understanding of how…