Work Model: Hybrid (Onsite Tuesday-Thursday 8 AM - 5 PM CST)
Role Overview
Northern Trust is seeking a Senior AI Security Engineer to lead the design assessment and governance of security controls for enterprise AI and machine learning systems. This role blends cybersecurity architecture IAM and emerging AI/ML technologies ensuring secure deployment of AI workloadsincluding large language models agentic frameworks and ML pipelineswithin a regulated environment.
Key Responsibilities
Architect and implement security frameworks for AI/ML platforms (model hosting inference endpoints training pipelines agentic AI).
Develop and enforce identity authentication and authorization (IAA/IAM) controls ensuring leastprivilege access and secure token flows (OAuth 2.0 OBO managed identities).
Conduct threat modeling and risk assessments using OWASP AI Top 10 MITRE ATLAS and NIST AI RMF.
Harden AI supply chain components (model registries MCP servers API gateways thirdparty integrations).
Define IAM policies and RBAC for AI environments across Azure AWS and GCP.
Collaborate with data science engineering and compliance teams to embed security guardrails into the AI lifecycle.
Author security documentation (architecture records risk assessments implementation guides).
Monitor evolving AI threat vectors (prompt injection tool poisoning model manipulation data exfiltration) and implement actionable controls.
Present findings and recommendations to leadership and governance boards.
Contribute to enterprise AI security standards and policies.
Required Qualifications
7 years in cybersecurity with 3 years in security architecture/engineering.
Strong knowledge of network application and data security; zerotrust principles.
Handson IAM experience (Azure AD/Entra ID Okta Ping AWS IAM).
Expertise in authentication/authorization protocols (OAuth 2.0 OIDC SAML SCIM).
1-3 years of experience securing AI/ML systems (LLM deployments agentic frameworks ML pipelines).
Familiarity with AI threat vectors (prompt injection data poisoning model inversion plugin abuse).
Exposure to AI governance frameworks (NIST AI RMF EU AI Act OWASP AI Top 10 MITRE ATLAS).
Excellent communication skills; ability to translate technical risks into business language.
Preferred Qualifications
Experience in financial services or regulated industries (SOX GDPR MiFID II).
Handson with Microsoft Azure/M365 security ecosystems (Entra ID Copilot Studio Defender for Cloud Purview).
Familiarity with API gateway security for AI services (Azure APIM Kong Cloudflare AI Gateway).
Knowledge of secure MLOps pipeline design container security and model scanning.
Experience with Model Context Protocol (MCP) security controls.
Contributions to security communities mentoring or publishing research.
Required Skills:
Artificial IntelligencesecurityIAM
IT Solutions Architect - AI Location:Chicago IL Employment Type: Contract 7 Months Work Model: Hybrid (Onsite Tuesday-Thursday 8 AM - 5 PM CST) Role Overview Northern Trust is seeking a Senior AI Security Engineer to lead the design assessment and governance of security controls for enterprise AI a...
IT Solutions Architect - AI
Location:Chicago IL
Employment Type: Contract 7 Months
Work Model: Hybrid (Onsite Tuesday-Thursday 8 AM - 5 PM CST)
Role Overview
Northern Trust is seeking a Senior AI Security Engineer to lead the design assessment and governance of security controls for enterprise AI and machine learning systems. This role blends cybersecurity architecture IAM and emerging AI/ML technologies ensuring secure deployment of AI workloadsincluding large language models agentic frameworks and ML pipelineswithin a regulated environment.
Key Responsibilities
Architect and implement security frameworks for AI/ML platforms (model hosting inference endpoints training pipelines agentic AI).
Develop and enforce identity authentication and authorization (IAA/IAM) controls ensuring leastprivilege access and secure token flows (OAuth 2.0 OBO managed identities).
Conduct threat modeling and risk assessments using OWASP AI Top 10 MITRE ATLAS and NIST AI RMF.
Harden AI supply chain components (model registries MCP servers API gateways thirdparty integrations).
Define IAM policies and RBAC for AI environments across Azure AWS and GCP.
Collaborate with data science engineering and compliance teams to embed security guardrails into the AI lifecycle.
Author security documentation (architecture records risk assessments implementation guides).
Monitor evolving AI threat vectors (prompt injection tool poisoning model manipulation data exfiltration) and implement actionable controls.
Present findings and recommendations to leadership and governance boards.
Contribute to enterprise AI security standards and policies.
Required Qualifications
7 years in cybersecurity with 3 years in security architecture/engineering.
Strong knowledge of network application and data security; zerotrust principles.
Handson IAM experience (Azure AD/Entra ID Okta Ping AWS IAM).
Expertise in authentication/authorization protocols (OAuth 2.0 OIDC SAML SCIM).
1-3 years of experience securing AI/ML systems (LLM deployments agentic frameworks ML pipelines).
Familiarity with AI threat vectors (prompt injection data poisoning model inversion plugin abuse).
Exposure to AI governance frameworks (NIST AI RMF EU AI Act OWASP AI Top 10 MITRE ATLAS).
Excellent communication skills; ability to translate technical risks into business language.
Preferred Qualifications
Experience in financial services or regulated industries (SOX GDPR MiFID II).
Handson with Microsoft Azure/M365 security ecosystems (Entra ID Copilot Studio Defender for Cloud Purview).
Familiarity with API gateway security for AI services (Azure APIM Kong Cloudflare AI Gateway).
Knowledge of secure MLOps pipeline design container security and model scanning.