Ensono
Expert Product Architect AI/ML
Remote - United States · Senior · Full-time
Sponsorship not specified$135k-$180kDetected 140 days ago
Vector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmPrometheusGrafanaDatadogPlatform EngineeringMachine LearningLLMsMLOpsAI OrchestrationCybersecurityNetwork SecurityZero TrustCollaborationPublic Speaking
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odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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Files H-1B transfers
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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
- 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
- 10+ years of experience in technical architecture, cloud engineering, or platform engineering roles
- 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
- Experience designing multi-tenant service architectures
- Familiarity with Responsible AI frameworks and AI governance
Nice to have
- Previous experience at an MSP is a plus.
- 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.
Benefits
- Experience in regulated industries (financial services, healthcare, government)
- Three health plan options
- 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
This listing is sourced directly from Ensono's careers page and normalized into a canonical job model.