Digital - AI Security Architect - Senior Manager
About The Position
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.
Requirements
- 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
Nice To Haves
- 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)
Responsibilities
- 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
- 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
- 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
Benefits
- medical, dental and vision coverage
- 401(k) plan with a generous employer match
- employee stock purchase plan
- generous Paid Time Off policy
- paid parental leave
- adoption assistance
- free annual health screenings and coaching
- bank at work
- on-site workshops
- ongoing programs recognizing major events in the lives of our employees throughout the year
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
