IT Solutions Architect - AI
Stellar IT Group
Overview: 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 workloads-including large language models, agentic frameworks, and ML pipelines-within 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 least-privilege 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, third-party 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.
- 7+ years in cybersecurity, with 3+ years in security architecture/engineering .
- Strong knowledge of network, application, and data security ; zero-trust principles.
- Hands-on 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.
- Experience in financial services or regulated industries (SOX, GDPR, MiFID II).
- Hands-on 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 .
- Certifications: CISSP, CCSP, CISM, Azure Security Engineer Associate , or AI-specific credentials.
- Experience with Model Context Protocol (MCP) security controls .
- Contributions to security communities, mentoring, or publishing research.
Vacancy posted 2 days ago
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