Veza is seeking a Senior Staff AI Engineer to join the Access AI team. You will architect, build, and operate production-grade agentic AI systems—autonomous agents that reason over enterprise data and execute mission-critical identity security actions at Fortune 500 scale. As a leading technologist, you will shape architectural patterns, scalability guardrails, and the strategic vision for autonomous enterprise security.

Key responsibilities: - Agentic architecture: design and ship multi-agent systems, including orchestration, tool use, planning loops, memory, and failure recovery, deployed in production. - Enterprise-grounded reasoning: build agents that leverage Access Graph, Access Reviews, and permission/risk data to make context-rich decisions. - Trust, safety, governance: own guardrails—observability, human-in-the-loop controls, and compliance infrastructure for safe deployment at scale. - Retrieval and grounding: collaborate with product/platform/graph teams to ensure agents are grounded in accurate, low-latency retrieval (RAG pipelines, semantic search, re-ranking, evaluation). - Model integration and evaluation: integrate frontier models and evaluate cost, latency, and capability trade-offs for production use. - Engineering leadership: elevate technical standards through architecture decisions, code reviews, and mentoring engineers on production AI practices.

Qualifications: - 8+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems. - Hands-on experience designing, shipping, and operating agentic systems

Veza is seeking a Senior Staff AI Engineer to join the Access AI team. You will architect, build, and operate production-grade agentic AI systems—autonomous agents that reason over enterprise data and execute mission-critical identity security actions at Fortune 500 scale. As a leading technologist, you will shape architectural patterns, scalability guardrails, and the strategic vision for autonomous enterprise security.

Key responsibilities: - Agentic architecture: design and ship multi-agent systems, including orchestration, tool use, planning loops, memory, and failure recovery, deployed in production. - Enterprise-grounded reasoning: build agents that leverage Access Graph, Access Reviews, and permission/risk data to make context-rich decisions. - Trust, safety, governance: own guardrails—observability, human-in-the-loop controls, and compliance infrastructure for safe deployment at scale. - Retrieval and grounding: collaborate with product/platform/graph teams to ensure agents are grounded in accurate, low-latency retrieval (RAG pipelines, semantic search, re-ranking, evaluation). - Model integration and evaluation: integrate frontier models and evaluate cost, latency, and capability trade-offs for production use. - Engineering leadership: elevate technical standards through architecture decisions, code reviews, and mentoring engineers on production AI practices.

Qualifications: - 8+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems. - Hands-on experience designing, shipping, and operating agentic systems