GenAI Platform Architect
Core
Define, build, and evolve enterprise-grade Generative AI and Agentic AI platforms, including end-to-end agentic architecture, SDKs, and integration strategies.
Role type
Senior IC GenAI Platform Architect
Builds
Enterprise AI platforms, internal SDKs, API contracts, and agentic systems
Domain
Generative AI, Agentic AI, Cloud Infrastructure, Enterprise Software
Deliverable
production ML models
Required skills
AI/ML solution architecture, LLMs (OpenAI, Anthropic, Mistral), RAG and Agentic RAG, orchestration frameworks (LangChain, LangGraph, Semantic Kernel), Python, Event-Driven Architecture, Kubernetes, DevOps/MLOps, security and governance in AI
Preferred skills
Azure AI Foundry, AWS Bedrock, Vertex AI, Azure AI Search, pgvector, Docker, Terraform, GitHub Actions, Azure DevOps, EU AI Act compliance, red teaming, ADRs
Technologies
Azure Cloud, Azure AI Foundry, AWS Bedrock, Vertex AI, OpenAI, Anthropic Claude, Mistral, LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework, Azure AI Search, pgvector, Kubernetes, Docker, Terraform, GitHub Actions, Azure DevOps, Jira, Confluence, Teams
Responsibilities
Define and own end-to-end agentic architecture; Design internal SDKs and API contracts; Select and justify technology stack; Define integration strategies with enterprise systems; Evaluate multi-agent vs. single-agent approaches; Ensure compliance by design (EU AI Act) and implement security controls; Define identity management and human-in-the-loop policies; Lead red teaming exercises; Implement quality gates across the agentic SDLC; Oversee observability frameworks; Mentor GenAI Platform Engineers and Agentic Engineers
Seniority
Senior, hands-on IC
