AI Platform Engineer Consultant
Core
Design and develop cloud and hybrid architectures for Data & AI platforms, translating business requirements into scalable, secure, and efficient solutions.
Role type
Senior IC AI Platform Engineer (Consulting)
Builds
Cloud-native infrastructure, CI/CD pipelines, and operational Data & AI platforms (Databricks, Microsoft Fabric, MLflow) for enterprise clients.
Domain
Enterprise IT Consulting, Cloud Infrastructure, Data & AI
Deliverable
production ML models | infrastructure
Required skills
Cloud architecture design (hybrid/on-premise), Infrastructure as Code, containerization and orchestration, CI/CD implementation, Data & AI platform integration, security and compliance, API integration, Python/Java/Bash scripting, FinOps and cloud cost management.
Preferred skills
MCP (Model Context Protocol) and Agent-to-Agent integration patterns, Generative AI platform industrialization.
Technologies
AWS, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, Terraform, Databricks, Microsoft Fabric, MLflow.
Responsibilities
Design scalable and resilient cloud architectures; Manage cloud-native infrastructure using IaC; Implement CI/CD pipelines and data ingestion processes; Integrate and operationalize Data & AI platforms; Embed security, compliance, and data governance; Collaborate with technical teams and business stakeholders on platform adoption.
Seniority
Senior, hands-on IC