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