Senior AI Engineer

Description:

About Us:

Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale.

We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide.

Join us in shaping how AI agents are secured at enterprise scale.

About the Role:

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.

Responsibilities:

• Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
• Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
• Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
• Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
• Scale Data Pipelines: Integrate agents with Zenity’s Big Data foundation to ensure real-time context and tenant-safe execution.

Requirements:

• B.Sc. in Computer Science, Electrical Engineering, or Mathematics
• Experience in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems
• 5+ years expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go
• Experience writing code in Agile, CI/CD-based production environments
• Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg
• Strong communication and collaboration skills
• Data-engineering, architecture, data-science roles or security domain knowledge are an advantage