Senior AI Security Engineer

Prairie Consulting Services; Chicago (IL); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Prairie Consulting Services is seeking a Senior AI Security Engineer to secure next-gen enterprise AI and machine learning systems in a hybrid role from Downtown Chicago. The ideal candidate will design security architectures, conduct threat modeling, and embed security across platforms.

With 7+ years in cybersecurity and strong IAM expertise, you'll work in a fast-paced environment focused on innovation. Join us to shape AI governance and ensure security at scale.

Qualifications

• 7+ years of cybersecurity experience with strong security architecture expertise.
• Deep experience with IAM technologies.
• Hands‑on exposure to AI/ML security concepts.

Responsibilities

• Design and implement security architectures for AI/ML platforms.
• Lead AI threat modeling and risk assessments.
• Secure AI supply chains including model registries and APIs.

Skills

Cybersecurity experience

Security architecture expertise

IAM technologies

AI/ML security concepts

Cloud-native security

Communication skills

Education

7+ years of cybersecurity experience

Tools

Azure AD

Okta

OAuth2

AWS IAM

Job description

Location: Downtown Chicago, Hybrid, 3 days/week on site

We’re looking for an experienced Senior AI Security Engineer to help secure the next generation of enterprise AI platforms, machine learning systems, and agentic AI solutions within a highly regulated environment.

This role sits at the intersection of Cybersecurity, IAM, Cloud Security, and AI/ML Engineering—ideal for someone passionate about securing modern AI ecosystems while enabling innovation at scale.

What You’ll Do

• Design and implement security architectures for AI/ML platforms, LLM deployments, inference endpoints, and agentic AI systems
• Lead AI threat modeling and risk assessments using frameworks such as OWASP AI Top 10, MITRE ATLAS, and NIST AI RMF
• Secure AI supply chains including model registries, APIs, MCP servers, and third-party integrations
• Build and enforce IAM/Zero Trust controls for AI workloads across Azure, AWS, and GCP
• Partner with Data Science, Platform Engineering, and Compliance teams to embed security into the AI lifecycle
• Present security recommendations and risk posture updates to senior leadership and governance boards

What We’re Looking For

• 7+ years of cybersecurity experience with strong security architecture expertise
• Deep experience with IAM technologies (Entra ID/Azure AD, Okta, AWS IAM, OAuth2, OIDC, SAML, SCIM)
• Hands‑on exposure to AI/ML security concepts including LLMs, LangChain/LangGraph, AI threat vectors, and secure AI deployment patterns
• Strong understanding of cloud-native security, zero trust, API security, and service identity governance
• Experience writing security architecture documents, risk assessments, and implementation guides
• Excellent communication and stakeholder management skills

Preferred

• Experience in financial services, healthcare, or other regulated industries
• Azure AI security ecosystem experience (Azure AI Foundry, Defender for Cloud, Purview, Copilot Studio)
• Knowledge of secure MLOps, AI gateway security, and model scanning
• Certifications such as CISSP, CCSP, CISM, or Azure Security Engineer Associate

If you’re passionate about securing enterprise AI and shaping AI governance at scale, we’d love to connect.