AI / MLOps Platform Engineer
Core
Design, implement, and operate enterprise-grade AI/MLOps platforms supporting production and mission-critical workloads for Generative AI and Agentic AI solutions.
Role type
Senior IC MLOps Platform Engineer
Builds
Production-grade AI/ML platforms, autonomous agent workflows, and enterprise Generative AI solutions
Domain
Cloud-native AI infrastructure, MLOps, and Agentic AI systems
Deliverable
production ML models
Required skills
MLOps platform engineering, Generative AI engineering, Agentic AI orchestration, Kubernetes administration, Infrastructure as Code, CI/CD and CT pipelines, multi-cloud SRE, LLM quality evaluation, vector databases, RAG implementation
Preferred skills
AI FinOps management, GPU utilization optimization, multi-agent framework design, human-in-the-loop workflows
Technologies
Vertex AI, Azure ML, SageMaker, Kubeflow, MLflow, Argo Workflows, Terraform, Bicep, Kubernetes (AKS/GKE/EKS), LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, OpenAI, Azure OpenAI, Google Gemini, Anthropic, Prometheus, Grafana, Datadog
Responsibilities
Build and operate production-grade AIOps and MLOps platforms; Design and implement autonomous AI agents; Deliver enterprise Generative AI solutions; Automate ML/AI deployment, monitoring, evaluation, and governance; Drive cloud-native platform engineering across Azure, GCP, and AWS
Seniority
Senior, hands-on IC
