Senior Agentic AI Security Engineer

Harvey Nash; Chicago (IL); 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. in Chicago, IL is seeking a Senior Agentic AI Security Engineer to design, build, and govern enterprise-scale intelligent automation systems centered on agentic AI.

The role spans deep technical work and executive advisory, translating AI capabilities into resilient, production-grade systems that meet rigorous security and compliance standards. The ideal candidate will have hands-on experience with LLM APIs, RAG, and multi-agent architectures, plus strong security,

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, prompt injection defense, zero-trust principles, and secure handling of model inputs/outputs
• Solid software engineering foundation (Python + compiled language) with experience in microservices, CI/CD, and infrastructure-as-code
• Ability to design resilient AI systems with strong observability, tracing, and understanding of non-deterministic failure modes
• Proven ability to operate cross-functionally and lead without authority across engineering, security, product, and operations
• Capable of translating complex technical concepts into clear roadmaps, architecture decisions, and executive-level communication

Job description

Job Title: Senior Agentic AI Security Engineer

Location: Chicago IL 60605/ New York City, NY -- 4 daysonsite, 1 day remote

Perm/FTE role

Job Description

Role Overview

• TheSr.AutomationEngineer/Senior Agentic AI Security Engineer serves as a senior technical authorityresponsible for designing, building, and governing enterprise-scaleintelligent automation systems centered on agentic artificial intelligence.

• Thisrole sits at the intersection of advanced AI engineering, securityarchitecture, and organizational strategy — driving the adoption ofautonomous agent frameworks across complex, multi-team environments.
• Theposition demands a practitioner who canoperateat both the deeptechnical layer and the executive advisory level, translating emerging AIcapabilities into resilient, production-grade systems that meet the mostrigorous security and compliance standards.

Your responsibilities will be:

1. Deep hands‑on experience building and deployingagentic AI systems, including LLM APIs, RAG, prompt engineering, and multi‑agent architectures
2. Strong security mindset with expertise in AI threatmodeling, prompt injection defense, zero‑trust principles, and securehandling of model inputs/outputs
3. Solid software engineering foundation (Python +compiled language) with experience in microservices, CI/CD, andinfrastructure-as‑code
4. Ability to design resilient AI systems with strongobservability, tracing, and understanding of non-deterministic failuremodes
5. Proven ability to operate cross‑functionally and leadwithout authority across engineering, security, product, and operations
6. Capable of translating complex technical conceptsinto clear roadmaps, architecture decisions, and executive‑levelcommunication

The ideal candidate has

1. Proven track record building production‑grade agenticAI systems that operate reliably at scale
2. Hands‑on experience designing agent orchestrationpatterns, debugging non‑deterministic failures, and delivering observable,auditable AI pipelines in regulated environments
3. Strong applied security expertise, includingimplementing defenses against prompt injection, jailbreaking, and toolmisuse, with experience in red‑teaming or penetration testing AI systems
4. Demonstrated ability to drive alignment acrosssecurity, legal, compliance, product, and engineering, turning competingpriorities into practical, well‑documented outcomes
5. Comfortable presenting architectural trade‑offs andrisk decisions to senior leadership in high‑stakes environments
6. Experience in financial services or regulatedindustries, with exposure to AI governance, model risk management, orinternal AI policy development preferred

A reasonable, good faith The anticipated base paycompensation range for this position is$160,000.00 to$180,000.00

Benefits:

• Full time employees are eligibleFor Health Insurance, Paid Time Off, and 401k match

* The pay range listed above reflects the expectedstarting salary /Pay rate for this role. This range may be adjusted based onmarket conditions, location, and other relevant factors. The Company willdetermine the final starting salary/Pay rate in full compliance with applicable laws