Expert Product Architect AI/ML at Ensono

<p>At Ensono, our <strong>Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things<em>!</em></strong> &nbsp;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.</p> <p>We can <strong>Do Great Things</strong> 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.</p> <p>Honesty – Reliability – Curiosity – Collaboration - Passion</p> <p><strong>About the role and what you'll be doing:&nbsp; </strong></p> <p style="color: !important;"><span style="color: #000000;">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.</span></p> <p style="color: !important;"><span style="color: #000000;">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.</span></p> <p style="color: !important;"><span style="color: #000000;">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.</span></p> <p style="color: !important;"><span style="color: #000000;">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.</span></p> <p style="color: !important;"><em><span style="color: #000000;">Technical Architecture (70%)</span></em></p> <ul> <li><span style="color: #000000;">Design the end-to-end technical architecture for Ensono's Managed AI Service portfolio, including infrastructure, integrations, and operational tooling</span></li> <li><span style="color: #000000;">Architect solutions that integrate third-party AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) into Ensono's managed services delivery model</span></li> <li><span style="color: #000000;">Define reference architectures for MLOps pipelines, including model deployment, monitoring, drift detection, and retraining orchestration</span></li> <li><span style="color: #000000;">Design AI-specific observability and monitoring frameworks that enable proactive managed services delivery</span></li> <li><span style="color: #000000;">Architect AI FinOps dashboards and cost governance tooling to provide clients visibility into AI spend (tokens, GPU, APIs)</span></li> <li><span style="color: #000000;">Work with security teams to define security and governance architectures for AI workloads, including prompt security, data loss prevention, and access control</span></li> <li><span style="color: #000000;">Evaluate and recommend build vs. buy decisions for platform components</span></li> </ul> <p style="color: !important;"><em><span style="color: #000000;">Collaboration &amp; Stakeholder Engagement (30%)</span></em></p> <ul> <li><span style="color: #000000;">Partner with Security to ensure AI architectures meet enterprise security and compliance requirements</span></li> <li><span style="color: #000000;">Work with the CTO office to align AI service architecture with Ensono's broader technology strategy</span></li> <li><span style="color: #000000;">Collaborate with Operations to ensure architectures are operationally supportable at scale</span></li> <li><span style="color: #000000;">Engage with Product Management to translate market requirements into technical designs</span></li> <li><span style="color: #000000;">Contribute to service definitions, SLAs, and operational runbooks</span></li> </ul> <p style="color: !important;"><span style="color: #000000;">What You'll Deliver (First 6 Months)</span></p> <p>&nbsp;</p> <ul> <li><span style="color: #000000;">AI Service Reference Architecture: A comprehensive technical architecture covering infrastructure, MLOps, governance, security, and FinOps for the Managed AI Service portfolio</span></li> <li><span style="color: #000000;">Technology Stack Recommendations: Evaluated and documented recommendations for third-party tools and platforms</span></li> <li><span style="color: #000000;">Integration Patterns: Defined patterns for integrating Azure AI, AWS AI, and other non-cloud platforms into Ensono's delivery model</span></li> <li><span style="color: #000000;">Operational Blueprints: Architecture documentation that Operations can use to build and support services</span></li> <li><span style="color: #000000;">Client-Ready Collateral: Technical architecture artifacts suitable for client presentations and proposals</span></li> </ul> <p><strong>We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.</strong>&nbsp;</p> <p style="color: !important;"><strong>Required Qualifications </strong></p> <ul> <li><span style="color: #000000;">10+ years of experience in technical architecture, cloud engineering, or platform engineering roles</span></li> <li><span style="color: #000000;">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.</span></li> <li><span style="color: #000000;">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)</span></li> <li><span style="color: #000000;">MLOps and AI infrastructure: Experience architecting ML pipelines, model serving infrastructure, and AI platform components</span></li> <li><span style="color: #000000;">Observability and monitoring: Experience designing monitoring, alerting, and operational visibility solutions</span></li> <li><span style="color: #000000;">Private/hybrid cloud: Experience with on-premises, hybrid, or private cloud architectures</span></li> <li><span style="color: #000000;">Client-facing experience: Comfortable presenting to technical and executive audiences, translating complex topics into clear recommendations</span></li> </ul> <p><strong><span style="color: #000000;">Preferred Experience</span></strong></p> <ul> <li><span style="color: #000000;">Experience in regulated industries (financial services, healthcare, government)</span></li> <li><span style="color: #000000;">Background in FinOps or cloud cost management</span></li> <li><span style="color: #000000;">Experience designing multi-tenant service architectures</span></li> <li><span style="color: #000000;">Familiarity with Responsible AI frameworks and AI governance</span></li> <li><span style="color: #000000;">Category Technologies:</span> <ul> <li><span style="color: #000000;">Cloud Platforms Azure (required), AWS (required), GCP (nice to have)</span></li> <li><span style="color: #000000;">AI/ML Platforms Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Vertex AI</span></li> <li><span style="color: #000000;">MLOps Tools MLflow, Kubeflow, Weights &amp; Biases, Azure ML Pipelines, SageMaker Pipelines</span></li> <li><span style="color: #000000;">LLM Orchestration LangChain, Semantic Kernel, LlamaIndex</span></li> <li><span style="color: #000000;">Containers/Orchestration Kubernetes (AKS/EKS), Helm, Docker</span></li> <li><span style="color: #000000;">Infrastructure as Code Terraform, Bicep, CloudFormation</span></li> <li><span style="color: #000000;">Observability Prometheus, Grafana, Datadog, Azure Monitor, Evidently AI, WhyLabs</span></li> <li><span style="color: #000000;">Vector Databases Azure AI Search, Pinecone, Weaviate, pgvector</span></li> <li><span style="color: #000000;">Security Azure AD, IAM, Key Vault, network security, Zero Trust principles</span></li> </ul> </li> <li>Certifications <ul> <li>&nbsp;Azure Solutions Architect Expert</li> <li>AWS Solutions Architect Professional</li> <li>Kubernetes (CKA/CKAD)</li> <li>Other relevant cloud or AI certifications</li> </ul> </li> </ul> <p><strong><span style="color: #000000;">Why Ensono?</span></strong></p> <p style="color: !important;"><span style="color: #000000;">Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it.</span></p> <p style="color: !important;"><span style="color: #000000;">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.</span></p> <p style="color: !important;"><span style="color: #000000;">Some of our benefits include:</span></p> <ul> <li><span style="color: #000000;">Unlimited Paid Days Off</span></li> <li><span style="color: #000000;">Three health plan options</span></li> <li><span style="color: #000000;">401k with company match</span></li> <li><span style="color: #000000;">Eligibility for dental, vision, short and long-term disability, life and AD&amp;D coverage, and flexible spending accounts</span></li> <li><span style="color: #000000;">Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement</span></li> <li><span style="color: #000000;">Paid childbearing and paternal leave</span></li> <li><span style="color: #000000;">Education Reimbursement, Student Loan Assistance or 529 College Funding</span></li> <li><span style="color: #000000;">Sabbatical leave</span></li> <li><span style="color: #000000;">Wellness program</span></li> <li><span style="color: #000000;">Flexible work schedule</span></li> </ul> <p style="color: !important;"><span style="color: #000000;">As of the date of this posting, a good faith estimate of the current pay scale for this role is $135,000 to $180,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance and an equity grant under our Associate Equity Appreciation Program.</span></p> <p style="color: !important;"><span style="color: #000000;">Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.</span></p> <p style="color: !important;"><span style="color: #000000;">Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website.</span></p> <p style="color: !important;"><span style="color: #000000;">If you need accommodation at any point during the application or interview process, please let your recruiter know or email [email protected].</span></p>