Enterprise AI Architect
Core
Design end-to-end, client-specific AI architectures integrating agents, models, enterprise data, and controls across cloud and on-premises environments.
Role type
Senior IC Enterprise AI Architect
Builds
Hybrid AI solutions, agent systems, and model routing patterns for enterprise clients
Domain
Enterprise AI, Agentic Systems, Hybrid Cloud
Deliverable
production ML models | product features
Required skills
Generative AI, agentic systems, data platforms, integration, distributed applications, hybrid cloud/on-premises design, agent orchestration (LangChain, LangGraph, etc.), RAG and knowledge architectures, model-agnostic/multi-model design, event-driven architecture, zero-trust patterns
Preferred skills
Architecture decision documentation, technical assurance, coaching colleagues, proposal support
Technologies
LangChain, LangGraph, Microsoft Agent Framework, Semantic Kernel, OpenAI Agents SDK, AutoGen, CrewAI, Kubernetes, containers, cloud AI platforms
Responsibilities
Translate business requirements into target architectures, design agent/RAG/model-routing patterns, define hybrid deployment patterns, evaluate technology choices, provide technical assurance, collaborate with governance and security specialists
Seniority
Senior, hands-on IC
