AI Platform Engineer Capabilities
Core
Transform community best practices and lessons learned from real AI implementations into standardized platform services, SDKs, templates, developer journeys, architectural blueprints, and governance patterns for reuse across domains.
Role type
Senior IC AI Platform Engineer
Builds
Standardized AI platform services, SDKs, accelerators, templates, and reference implementations for ML, agentic AI, and AI system development
Domain
Financial Services / AI Platform Engineering / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Azure Services, DevOps, Kubernetes, MLOps, LLMOps, Generative AI, RAG, Prompt Engineering, CI/CD, Observability
Preferred skills
Design Patterns, System Engineering, Security and Governance, DevEx mindset, Architecture modeling
Technologies
Azure, Azure DevOps, Docker, AKS, Databricks, Unity Catalog, VS Code, Nexus, Twistlock, Grafana, Prometheus, Azure Monitor, Arize Phoenix, MLflow
Responsibilities
Define and maintain AI architecture standards and reference architectures; Prototype and translate emerging AI implementation patterns into enterprise standards; Design and develop shared AI services and platform capabilities; Build SDKs, accelerators, templates, and reference implementations; Implement CI/CD pipelines and platform automation; Develop integrations between AI services and supporting platforms.