AI Security Engineer

Akaasa Technologies
Chicago, United States of America
2 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 180K

Job location

Remote
Chicago, United States of America

Tech stack

Kubernetes Security
Artificial Intelligence
Azure
Cloud Engineering
Computer Security
Identity and Access Management
Information Systems Security Architecture Professional
Network Security
Machine Learning
OAuth
OpenID
Open Web Application Security
Ping (Networking Utility)
Azure
Zero Trust Network Access
Security Assertion Markup Language (SAML)
Okta
Large Language Models
Software Security
AI Platforms
Information Technology
Cloudflare
Machine Learning Operations
Api Management

Job description

We are seeking an experienced AI Security Engineer to lead the design, assessment, and governance of security controls for AI and machine learning systems across the enterprise. This role sits at the intersection of cybersecurity architecture, IAM, and AI/ML technologies, ensuring secure deployment of LLMs, agentic frameworks, and ML pipelines in a regulated environment.

Requirements

  • 7+ years in cybersecurity, with 3+ years in security architecture/engineering
  • Experience designing end-to-end security architectures for cloud-native and hybrid environments
  • Strong knowledge of network security, application security, data protection, and zero-trust

Identity & Access Management (IAM):

  • Hands-on experience with IAM solutions (Entra ID / Azure AD, Okta, Ping, AWS IAM)
  • Deep understanding of OAuth 2.0, OIDC, SAML, SCIM, and token-based flows
  • Experience with service identity, workload identity federation, and privileged access management

AI / ML Security:

  • 1 3 years of experience in AI/ML security, governance, or engineering
  • Understanding of LLM architectures and agentic frameworks (LangChain, LangGraph)
  • Knowledge of AI threats: prompt injection, model inversion, data poisoning, supply chain risks
  • Familiarity with frameworks: NIST AI RMF, OWASP AI Top 10, MITRE ATLAS, EU AI Act

Communication & Leadership:

  • Strong ability to translate technical concepts for business stakeholders
  • Experience leading architecture reviews and cross-functional discussions
  • Proven documentation skills (risk assessments, policies, architecture docs), * Experience in regulated industries (financial services, healthcare, etc.)
  • Hands-on with Microsoft Azure & M365 security ecosystem (Entra ID, Defender, Purview, Copilot)
  • Experience with API security for AI platforms (Azure APIM, Kong, Cloudflare)
  • Knowledge of secure MLOps, container security, and model scanning
  • Exposure to Model Context Protocol (MCP) security
  • Certifications: CISSP, CCSP, CISM, Azure Security Engineer, AI certifications

Education:

  • Bachelor's degree in Computer Science, Information Security, or related field

About the company

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