About this role
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 toolingArchitect solutions that integrate third-party AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) into Ensono's managed services delivery modelDefine reference architectures for MLOps pipelines, including model deployment, monitoring, drift detection, and retraining orchestrationDesign AI-specific observability and monitoring frameworks that enable proactive managed services deliveryArchitect 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 controlEvaluate 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 requirementsWork with the CTO office to align AI service architecture with Ensono's broader technology strategyCollaborate with Operations to ensure architectures are operationally supportable at scaleEngage with Product Management to translate market requirements into technical designsContribute 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 portfolioTechnology Stack Recommendations: Evaluated and documented recommendations for third-party tools and platformsIntegration Patterns: Defined patterns for integrating Azure AI, AWS AI, and other non-cloud platforms into Ensono's delivery modelOperational Blueprints: Architecture documentation that Operations can use to build and support servicesClient-Ready Collateral: Technical architecture artifacts suitable for client presentations and proposals 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.
Required Qualifications
10+ years of experience in technical architecture, cloud engineering, or platform engineering rolesManaged 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 componentsObservability and monitoring: Experience designing monitoring, alerting, and operational visibility solutionsPrivate/hybrid cloud: Experience with on-premises, hybrid, or private cloud architecturesClient-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 managementExperience designing multi-tenant service architecturesFamiliarity with Responsible AI frameworks and AI governanceCategory Technologies:Cloud Platforms Azure (required), AWS (required), GCP (nice to have)AI/ML Platforms Azure OpenAI, Azure ML, AWS Bedrock, SageMaker, Vertex AIMLOps Tools MLflow, Kubeflow, Weights & Biases, Azure ML Pipelines, SageMaker PipelinesLLM Orchestration LangChain, Semantic Kernel, LlamaIndexContainers/Orchestration Kubernetes (AKS/EKS), Helm, DockerInfrastructure as Code Terraform, Bicep, CloudFormationObservability Prometheus, Grafana, Datadog, Azure Monitor, Evidently AI, WhyLabsVector Databases Azure AI Search, Pinecone, Weaviate, pgvectorSecurity Azure AD, IAM, Key Vault, network security, Zero Trust principlesCertifications Azure Solutions Architect ExpertAWS Solutions Architect ProfessionalKubernetes (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.
Some of our benefits include:
Unlimited Paid Days OffThree health plan options401k with company matchEligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accountsFamily Forming Benefit including fertility coverage and adoption/surrogacy reimbursementPaid childbearing and paternal leaveEducation Reimbursement, Student Loan Assistance or 529 College FundingSabbatical leaveWellness programFlexible 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.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email [email protected].
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