Related skills
azure aws kubernetes machine learning langchain📋 Description
- Design end-to-end architecture for Ensono's Managed AI services.
- Architect integrations of Azure OpenAI, AWS Bedrock, Vertex AI.
- Define reference ML Ops pipelines: deployment, monitoring, retraining.
- Create AI observability and governance frameworks for services.
- Build AI FinOps dashboards for client visibility into spend.
- Collaborate with Security/CTO/Ops to ensure production readiness.
🎯 Requirements
- 10+ years in technical architecture, cloud or platform roles.
- Deep MSP background; experience designing/managing managed services.
- Cloud architecture with Azure and/or AWS (compute, network, security).
- Experience with Azure OpenAI, Azure ML, AWS Bedrock, SageMaker.
- MLOps and AI infra: pipelines, model serving, governance.
- Observability/monitoring and security/governance practices.
🎁 Benefits
- Unlimited Paid Days Off
- 401k with company match
- Three health plan options
- Education Reimbursement / Student Loan Assistance
- Flexible work schedule
- Family Forming Benefit (fertility coverage & adoption/reimbursement)
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!