Senior AI/ML Product Architect - Cloud & Managed Services

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 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 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. Required Qualifications 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. Preferred Experience 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. Category Technologies: Cloud Platforms Azure (required), AWS (required), GCP (nice to have). AI/ML Platforms Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Vertex AI. MLOps Tools MLflow, Kubeflow, Weights & Biases, Azure ML Pipelines, SageMaker Pipelines. LLM Orchestration LangChain, Semantic Kernel, LlamaIndex. Containers/Orchestration Kubernetes (AKS/EKS), Helm, Docker. Infrastructure as Code Terraform, Bicep, CloudFormation. Observability Prometheus, Grafana, Datadog, Azure Monitor, Evidently AI, WhyLabs. Vector Databases Azure AI Search, Pinecone, Weaviate, pgvector. Security Azure AD, IAM, Key Vault, network security, Zero Trust principles. Certifications: Azure Solutions Architect Expert. AWS Solutions Architect Professional. Kubernetes (CKA/CKAD). Other relevant cloud or AI certifications. Why Ensono? 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. 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. Benefits Unlimited Paid Days Off Three health plan options 401(k) 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 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. 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. Pay transparency nondiscrimination statement/posting OFCCP's pay transparency policy can be found on OFCCP’s website. #J-18808-Ljbffr