Expert Product Architect AI/ML

Expert Product Architect AI/MLRemote - United StatesJR 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. _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 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 **We want all new Associates to succeed in their roles at Ensono. To be considered for this role, it's important that you meet all Required Qualifications. Whatever it means to you to do great things we want Ensono to be the place you can do it. We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices.

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