AI/MLOps SRE Lead Engineer
Core
Lead the design and operation of resilient multi-cloud platforms supporting machine learning workloads, LLMs, AI Agents, and enterprise-scale automation.
Role type
Senior IC AI/MLOps SRE Lead Engineer
Builds
Enterprise ML platform infrastructure, AI-powered observability solutions, LLM/Agent pipelines, and ChatOps architectures
Domain
Healthcare technology, Cloud-native AI/ML, Multi-cloud infrastructure
Deliverable
production ML models | infrastructure
Required skills
Multi-cloud platform management, ML platform infrastructure design, AI-powered observability, LLM/Agent platform implementation, Infrastructure as Code, CI/CD automation, Python/Go/Bash scripting, Enterprise ChatOps architecture, Technical debt assessment, Kubernetes orchestration
Preferred skills
Kubeflow, Feast, LangSmith, RAGAS, Evidently AI, MLflow, Weights & Biases, Cloud cost optimization, FinOps, Policy-as-code, Multi-cloud governance
Technologies
Dataiku, Amazon SageMaker AI, Databricks, Google Vertex AI, Terraform, Pulumi, AWS CDK, Prometheus, Grafana, Datadog, OpenTelemetry, EKS, GKE, AKS
Responsibilities
Establish SLOs, SLIs, and error budgets for multi-cloud environments; Design and scale enterprise ML platform infrastructure; Develop AI-powered observability solutions with automated remediation; Lead implementation and monitoring of LLMs, SLMs, and RAG pipelines; Architect enterprise ChatOps solutions; Partner with Data Science and AI teams to deliver production-ready platforms; Evaluate emerging AI-native operational technologies; Conduct technical debt assessments and provide strategic recommendations; Mentor engineers and influence SRE/MLOps strategy
Seniority
Senior, hands-on IC with leadership responsibilities
