Digital AI Security Architect Senior Manager
Chicago, IL - USA
Job Summary
Huron is a global consultancy that collaborates with clients to drive strategic growth ignite innovation and navigate constant change. Through a combination of strategy expertise and creativity we help clients accelerate operational digital and cultural transformation enabling the change they need to own their future.
Join our team as the expert you are now and create your future.
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.
- 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
- 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
- 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)
At Huron we partner with clients to innovate responsiblydesigning AI solutions that are secure compliant and built to scale. Our teams combine deep technical expertise with a practical results-oriented approach to help organizations realize long-term value from AI.
The estimated base salary for this job is $175000 - $195000. 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. This job is also eligible to participate in Hurons annual incentive compensation program which reflects Hurons pay for performance philosophy. Inclusive of annual incentive compensation opportunity the total estimated compensation range for this job is $210000 - $234000. The job is also eligible to participate in Hurons benefit plans which include medical dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
Required Experience:
Senior Manager
About Company
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