Expert Product Architect AL/ML

Ensono

12h•$135,000 - $205,000•Hybrid

About The Position

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.

Requirements

10+ years of experience in technical architecture, cloud engineering, or platform engineering roles
Managed services background: Deep understanding of how managed services are designed, delivered, and operated—you've built services that are run by operations teams, not just deployed and handed off. Previous experience at an MSP is a plus.
Cloud architecture expertise: Strong experience with Azure and/or AWS, including compute, networking, security, and managed AI services (Azure OpenAI, Azure ML, AWS Bedrock, SageMaker)
MLOps and AI infrastructure: Experience architecting ML pipelines, model serving infrastructure, and AI platform components
Observability and monitoring: Experience designing monitoring, alerting, and operational visibility solutions
Private/hybrid cloud: Experience with on-premises, hybrid, or private cloud architectures
Client-facing experience: Comfortable presenting to technical and executive audiences, translating complex topics into clear recommendations

Nice To Haves

Experience in regulated industries (financial services, healthcare, government)
Background in FinOps or cloud cost management
Experience designing multi-tenant service architectures
Familiarity with Responsible AI frameworks and AI governance
GCP
Vertex AI
Azure Solutions Architect Expert certification
AWS Solutions Architect Professional certification
Kubernetes (CKA/CKAD) certification
Other relevant cloud or AI certifications

Responsibilities

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
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

Benefits

Unlimited Paid Days Off
Three health plan options
401k with company match
Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement
Paid childbearing and paternal leave
Education Reimbursement, Student Loan Assistance or 529 College Funding
Sabbatical leave
Wellness program
Flexible work schedule