Senior Agentic AI Security Engineer (Hybrid)

Harvey Nash Inc.; New York (NY); Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

Paid Time Off

401k match

Job summary

Harvey Nash Inc. is seeking a Senior Agentic AI Security Engineer in a hybrid Chicago NY location.

The role combines deep technical work on agentic AI systems with security architecture and executive advisory duties. You will design, build, and govern enterprise-scale intelligent automation, including LLM APIs, RAG, and multi-agent architectures, while applying strong security, compliance, and governance practices.

Qualifications

• Strong hands-on experience building production-grade agentic AI systems.
• Experience designing agent orchestration patterns and observability of AI pipelines.
• Proven security expertise including defenses against prompt injection and jailbreaking, with red-teaming or pen testing AI systems.
• Ability to drive alignment across security, legal, compliance, product, and engineering.

Responsibilities

• Deep hands-on experience building and deploying agentic AI systems, including LLM APIs, RAG, prompt engineering, and multi-agent architectures
• Strong security mindset with expertise in AI threat modeling and secure handling of model inputs/outputs
• Solid software engineering foundation (Python + compiled language) with microservices, CI/CD, and IaC
• Design resilient AI systems with observability, tracing, and non-deterministic failure handling
• Lead across engineering, security, product, and operations without formal authority
• Translate complex technical concepts into clear roadmaps and executive-level decisions

Skills

Agentic AI security

Cross-functional leadership

Threat modeling

Executive communication

Regulated environments

Tools

Python

IaC

CI/CD

Microservices

Job description

Harvey Nash Inc. is seeking a Senior Agentic AI Security Engineer in a hybrid Chicago NY location.

The role combines deep technical work on agentic AI systems with security architecture and executive advisory duties. You will design, build, and govern enterprise-scale intelligent automation, including LLM APIs, RAG, and multi-agent architectures, while applying strong security, compliance, and governance practices.