AI Security Engineer

Akaasa Technologies

Chicago, IL, United States

3 months ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$118,023.0 - $180,313.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

Kubernetes Security Artificial Intelligence Microsoft Azure Cloud Engineering Cyber Security Identity and Access Management Information Systems Security Architecture Professional Network Security Machine Learning OAuth OpenID Open Web Application Security

+12 more

Ping (Networking Utility) Azure Active Directory 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: