Digital - AI Security Architect - Senior Manager

Role Description

Huron is seeking a senior-level AI Security Architect to help clients design, secure, and scale enterprise AI and generative AI solutions. This role combines hands-on technical architecture with client-facing advisory, focusing on security, risk management, and governance across the AI lifecycle.

You will serve as a trusted advisor to clients, helping them deploy AI responsibly while addressing emerging security threats and regulatory requirements. This is a senior individual contributor role with no direct reports, requiring both deep technical expertise and the ability to guide client decisions.

Key Responsibilities

• AI Architecture & Delivery
  • Design and implement secure AI and generative AI architectures across data, model development, deployment, and inference.
  • Embed security controls into LLM, RAG, and agentic AI systems.
  • Guide architectural decisions on data pipelines, model orchestration, APIs, and observability.
  • Design AI auditability and observability solutions to support governance, monitoring, and incident response.
• Security, Risk & Governance
  • Identify and mitigate AI-specific risks (e.g., prompt injection, data leakage, model poisoning, adversarial attacks).
  • Conduct threat modeling, architecture risk assessments, and AI security testing (e.g., red teaming) for AI systems.
  • Assess AI supply chain risk, including model provenance, third-party models, and training data lineage.
  • Define and recommend AI security standards, policies, and MLSecOps practices aligned to regulatory and enterprise risk frameworks.
  • Translate technical risks into executive-ready, business-aligned guidance.
• Client Advisory & Practice Contribution
  • Act as a trusted advisor to client leaders on secure and responsible AI adoption.
  • Contribute to proposals, workshops, and AI security solution shaping.
  • Develop reusable assets, reference architectures, and thought leadership.

Qualifications

• 8+ years of experience in software engineering, cybersecurity, or AI/ML, including architecture roles.
• Proven experience delivering secure, production-grade AI or generative AI solutions.
• Deep knowledge of LLM-based and agentic AI architectures.
• Strong understanding of cloud platforms (Azure, AWS, or GCP) and cloud security capabilities.
• Expertise in identity and access management (IAM), data protection, API security, and risk assessment.
• Ability to assess and communicate technical risks in a business context.
• Experience working in client-facing environments with both technical and business stakeholders.

Preferred Experience

• Deep expertise in AI security risks and controls, including OWASP Top 10 for LLMs, NIST AI RMF, or similar.
• Experience securing agentic AI systems and autonomous workflows.
• AI governance, policy development, and enterprise guardrails.
• Experience with AI security testing, including adversarial testing approaches.
• Implementation of secure AI lifecycle / MLSecOps practices.
• Experience in regulated environments (e.g., HIPAA, SOX, FedRAMP, NIST 800-53).
• Relevant certifications (e.g., CISSP, CCSP, cloud security certifications).

Benefits

• The estimated base salary for this job is $175,000 - $195,000.
• The total estimated compensation range for this job is $210,000 - $234,000, inclusive of annual incentive compensation opportunity.
• This job is eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.