Senior Cloud Engineer AI
You will evaluate AWS and Azure AI/ML services, design secure reusable integration patterns, and build automated MLOps platforms. You will develop infrastructure automation, implement model observability and drift detection, produce technical assessments, and mentor others on cloud AI/ML practices.
Responsibilities
- Evaluate AWS and Azure AI/ML services through proof-of-concepts and assessments
- Design secure reusable architectural patterns for AI/ML integrations
- Build MLOps platforms and automated ML pipelines
- Produce technical reports on security, networking, compliance, guardrails, and cost
- Develop infrastructure-as-code frameworks and automation
- Implement model monitoring, metrics, and drift detection
- Align platform capabilities with strategic roadmaps
- Provide technical leadership and mentorship
Requirements
- 5–7 years of cloud engineering experience, including 3+ years focused on AI/ML platforms
- AWS AI/ML services, including SageMaker and Bedrock
- Azure Machine Learning, Azure OpenAI, and Azure AI Foundry
- MLOps platforms and automated ML pipelines
- LLMOps, LLM lifecycle management, agentic AI, RAG, and prompt engineering
- LLM guardrails and governance
- Python
- Terraform, CloudFormation, or ARM/Bicep
- MLflow, experiment tracking, and model registries
- Cloud security, private endpoints, customer-managed keys, and network isolation
- Cloud networking architecture
- Experience in regulated industries and Agile delivery
Benefits
- Health insurance
- Tuition reimbursement
- Accident insurance
- Life insurance
- Retirement savings plans