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EI
E-Solutions Inc.
AI Architect
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Job Description
AI Architect (Bolingbrook, IL, 60490) | 08/25/26 Job Description Key Responsibilities
- Define reference architectures and technical standards for secure AI/ML adoption (data governance, model lifecycle security, LLM/agentic AI security, network and identity boundaries).
- Lead security architecture reviews for new AI initiatives, products, and vendor tools, identifying risks and required controls prior to launch.
- Design enterprise patterns for AI guardrails, output validation, human-in-the-loop controls, and least-privilege access for AI agents and services.
- Partner with enterprise architecture, data platform, and infrastructure teams to ensure AI security controls are embedded consistently across on-prem, cloud, and SaaS AI deployments.
- Evaluate emerging AI security threats and technologies, advising leadership on architectural implications and roadmap priorities.
- Mentor the AI Engineer team on secure design practices; provide technical governance over implementation to ensure alignment with architecture standards.
- Contribute to AI governance policy, risk frameworks, and control mapping (NIST
AI RMF, ISO/IEC 42001, OWASP LLM
Top 10) from a technical architecture perspective. Required Qualifications- 8+ years in security architecture or enterprise architecture roles, including recent experience architecting controls for AI/ML or data platforms.
- Deep understanding of AI/ML system design (data pipelines, model training/serving, MLOps) and associated security and privacy risks.
- Strong grasp of cloud security architecture (Azure and/or AWS/GCP), identity and access management, network segmentation, and zero-trust principles.
- Familiarity with AI governance and security frameworks:
NIST AI RMF, ISO/IEC 42001, OWASP
Top 10 for LLM Applications, and applicable data privacy regulation.- Demonstrated ability to communicate architecture decisions to both engineering teams and executive stakeholders. Preferred Qualifications
- Architecture certifications (SABSA, TOGAF) and/or security certifications (CISSP, CCSP).
- Experience building AI/ML platforms or securing generative AI/agentic AI deployments at enterprise scale.
- Retail or large consumer-brand enterprise experience.