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Expert Product Architect AI/ML

Job

OREGON EMPLOYMENT DEPARTMENT

Remote

Part-Time

Posted 6 weeks ago (Updated 1 week ago) • Actively hiring

Expires 7/14/2026

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Job Description

Job Listing ID:
4491759
Job Title:
Expert Product Architect AI/ML Application Deadline:
Open Until Filled
Job Location:
Salem
Date Posted:
05/14/2026
Hours Worked Per Week:
Not Provided Shift:
Not Provided Duration of Job:
Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)
Job Summary:
Expert Product Architect AI/MLRemote
  • United States
JR013700
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 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 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 What You'll Deliver (First 6 Months)
AI Service Reference Architecture:
A comprehensive technical architecture covering infrastructure, MLOps, governance, security, and FinOps for the Managed AI Service portfolio
Technology Stack Recommendations:
Evaluated ...
Job Classification:
Computer Occupations, All Other Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation
Salary:
Not Provided Job Requirements
Experience Required:
 See Job Summary
Education Required:
None
Minimum Age:
N/A Gender:
N/A