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IT Solutions Architect - AI

Stellar IT Group
  • US
    United States
  • US
    United States

Über

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. Required Qualifications
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. Preferred Qualifications
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.
Skills:
Artificial Intelligence,security,IAM
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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