Ensono

Ensono

Expert Product Architect AI/ML

Remote - United States · Exec · Full-time

Sponsorship not specified$135k-$180kDetected 47 days ago
Vector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmPrometheusGrafanaDatadogPlatform EngineeringMachine LearningLLMsMLOpsAI OrchestrationCybersecurityNetwork SecurityZero TrustCollaborationPublic Speaking

About the role

  • 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
  • Architect AI FinOps dashboards and cost governance tooling to provide clients visibility into AI spend (tokens, GPU, APIs)

Responsibilities

  • Architecture documentation that Operations can use to build and support services
  • Design the end-to-end technical architecture for Ensono's Managed AI Service portfolio, including infrastructure, integrations, and operational tooling
  • Evaluate and recommend build vs. buy decisions for platform components
  • Collaborate with Operations to ensure architectures are operationally supportable at scale
  • Partner with Security to ensure AI architectures meet enterprise security and compliance requirements

Requirements

  • 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

Nice to have

  • 10+ years of experience in technical architecture, cloud engineering, or platform engineering roles
  • Previous experience at an MSP is a plus.
  • Background in FinOps or cloud cost management
  • Experience designing multi-tenant service architectures
  • Familiarity with Responsible AI frameworks and AI governance
  • Preferred Experience

Skills

  • 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

Compensation

  • 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.

This listing is sourced directly from Ensono's careers page and normalized into a canonical job model.