AI Security Engineer
Location: Chicago IL - Onsite
Duration: 8 Months Contract
Interview: Virtual
LinkedIN with location
Local or from nearby only
Job Overview:
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.
Required:
Security Architecture & Engineering:
- 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)
Qualifications:
- 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:
- Bachelors degree in Computer Science Information Security or related field
AI Security Engineer Location: Chicago IL - Onsite Duration: 8 Months Contract Interview: Virtual LinkedIN with location Local or from nearby only Job Overview: We are seeking an experienced AI Security Engineer to lead the design assessment and governance of security controls for AI and mac...
AI Security Engineer
Location: Chicago IL - Onsite
Duration: 8 Months Contract
Interview: Virtual
LinkedIN with location
Local or from nearby only
Job Overview:
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.
Required:
Security Architecture & Engineering:
- 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)
Qualifications:
- 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:
- Bachelors degree in Computer Science Information Security or related field
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