Senior AI Platform Engineers are crucial in architecting and maintaining the infrastructure that supports AI and ML initiatives across the organization
Job Summary
Senior AI Platform Engineers are crucial in architecting and maintaining the infrastructure that supports AI and ML initiatives across the organization.
You will build secure, scalable environments (VMs, containers, Kubernetes clusters, Databricks workspaces) to deploy cloud AI services like Azure OpenAI/Azure ML, AWS SageMaker/Bedrock.
Collaborate with data scientists and application teams to integrate generative AI features (e.g. chatbots, co-pilot assistants) into enterprise applications.
Matching Summary
Senior AI Platform Engineers are crucial in architecting and maintaining the infrastructure that supports AI and ML initiatives across the organization.
Skills & Requirements
Must-have
Azure and AWS cloud services
Databricks, OpenAI, MLOps
Azure DevOps
Infrastructure-as-Code (IaC)
CI/CD pipelines
Generative AI workloads
Cloud security guidelines
Nice-to-have
Business Resource Groups
Formal and informal mentoring
Continuous learning culture
Code assistant tools
Key Requirements
7+ years of experience in platform engineering
Bachelor’s or master’s degree or equivalent experience
Experience with Azure AI services, Azure ML, Databricks, AKS
Experience with AWS SageMaker, AWS Bedrock, AWS Lambda
Exposure to Generative AI and Agentic AI ecosystems