Digital - AI Security Architect - Senior Manager

Key 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
• Audit AI supply chain risk, including model provenance, third-party models, and training data lineage
• Define and recommend AI security standards, policies, and ML secOps practices aligned to regulatory and enterprise risk frameworks
• Translate technical risks into executive-ready, business-aligned guidance

Required 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
• Experience with AI security testing, including adversarial testing approaches
• Implementation of secure AI lifecycle / ML secOps practices
• Experience in regulated environments (e.g., HIPAA, SOX, FedRAMP, NIST 800-53)
• Relevant certifications (e.g., CISSP, CCSP, cloud security certifications)

Pay

The estimated base salary for this job is $175,000 - $195,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel.

Benefits

Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $210,000 - $234,000. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.