AI Architect
Core
Design and own the end-to-end technical architecture of agentic AI systems, bridging research-grade ideas to production-hardened implementations for higher education enrollment workflows.
Role type
Senior IC Agentic AI Architect
Builds
Scalable agentic AI platforms integrating LLM pipelines, multi-agent orchestration, and memory systems for university admissions
Domain
Higher Education / Agentic AI Systems
Deliverable
production ML models
Required skills
LLM orchestration, multi-agent system design, RAG architectures, Python, cloud platforms, containerization, system scalability, security architecture, technical documentation
Preferred skills
LangGraph, CrewAI, AutoGen, Google ADK, human-in-the-loop design, adversarial prompt defense
Technologies
LangGraph, LangChain, AutoGen, CrewAI, Google ADK, Python, MongoDB, Databricks, Salesforce, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Define end-to-end agentic AI architecture including orchestration layers and multi-agent workflows; Design production-grade systems with error handling, retry logic, and circuit breakers; Establish monitoring, observability, and audit logging frameworks for compliance; Produce clear architecture documentation and lead design reviews; Communicate architectural trade-offs to engineering teams and enterprise clients; Stay current with agent frameworks and drive the technology roadmap.
Seniority
Senior, hands-on IC