AI Security Architect

Skillable

116d • $170,000 - $210,000

About The Position

The position involves defining and leading the security architecture strategy for AI/ML systems, including LLMs, GenAI tools, and AI-driven features. The role requires collaboration with engineering and data science teams to secure the AI/ML pipeline, which encompasses data ingestion, training, deployment, and monitoring. The candidate will develop threat models for AI systems and implement mitigations against adversarial ML, data poisoning, model theft, and prompt injection. Additionally, the role includes evaluating and advising on the secure use of third-party AI tools, APIs, and model integrations, as well as building policies, patterns, and guardrails for responsible and secure AI development in collaboration with GRC and Legal. The candidate will guide the implementation of privacy-enhancing technologies and ensure regulatory compliance, conduct risk assessments on AI use cases, and lead the remediation of identified security gaps. The position also involves designing, reviewing, and securing architectures involving Model Context Protocol (MCP) and architecting agentic AI workflows. Mentoring engineers and architects on AI security principles and staying current on the evolving AI threat landscape are also key responsibilities.

Requirements

• Bachelor's degree in computer science, Data Science or relevant professional experience.
• 10+ years of experience in cybersecurity architecture, with 2+ years focused on AI/ML systems or GenAI.
• Deep knowledge of cloud-native security (AWS/GCP/Azure), data protection, identity, and application security.
• Strong understanding of machine learning workflows, MLOps platforms, and model lifecycle management.
• Familiarity with threats unique to AI/ML, including model inversion, data leakage, and hallucinations.
• Experience with security frameworks and standards (e.g., NIST AI RMF, MITRE ATLAS, ISO 27001, ISO/IEC 42001).
• Proven ability to influence cross-functional teams and drive architectural decisions in complex environments.
• Hands-on experience designing, securing, or integrating Model Context Protocol (MCP) for AI system interoperability.
• Experience architecting and securing solutions using Azure AI Services.
• Excellent communication and documentation skills.
• Interest and ability in mentoring and/or training other team members as applicable.
• Experience working cross-functionally and promoting collaborative partnerships to drive results.
• Proven ability to communicate effectively to various audiences/levels, both internal and external stakeholders.
• Ability to present and convey material both formally and informally to all levels of an organization.
• Proven organization skills with the ability to address short-term and long-term demands simultaneously.
• Strong Microsoft suite experience, including teams or similar web conferencing and internal communication software experience preferred.
• Naturally inquisitive with a desire to learn, solve problems and dig into detailed analysis.
• Experience working in a fully remote team is preferred but not required.
• Thorough understanding (or willingness to learn expeditiously) of business operations and processes.
• Strong written and oral communication skills.
• Proactively addresses challenges, seeking opportunities for continuous improvement.
• Adept at troubleshooting in fast-paced environments and implementing corrective actions swiftly.

Responsibilities

• Define and lead the security architecture strategy for AI/ML systems, including LLMs, GenAI tools, and AI-driven features.
• Partner with engineering and data science teams to secure the AI/ML pipeline (data ingestion, training, deployment, monitoring).
• Develop threat models for AI systems and implement mitigations against adversarial ML, data poisoning, model theft, and prompt injection.
• Evaluate and advise on secure use of third-party AI tools, APIs, and model integrations.
• Build policies, patterns, and guardrails for responsible and secure AI development in collaboration with GRC and Legal.
• Guide the implementation of privacy-enhancing technologies and ensure regulatory compliance (e.g., GDPR, CPRA, ISO/IEC 42001).
• Conduct risk assessments on AI use cases and lead the remediation of identified security gaps.
• Design, review, and secure architectures involving Model Context Protocol (MCP).
• Architect and secure agentic AI workflows, including autonomous or semi-autonomous multi-agent systems.
• Mentor engineers and architects on AI security principles and threat modeling.
• Stay current on the evolving AI threat landscape, emerging standards, and attack techniques.
• Contribute to interviewing and selecting new team members as requested.
• Support and promote the company values through positive interactions with both internal and external stakeholders.
• Other strategic business initiatives or special cross-functional project involvement as required.

Benefits

• Fully remote with a monthly stipend to pay for office services and supplies.
• Medical (2 plan options), dental (2 plan options), vision, health savings account with generous employer contributions, healthcare spending accounts, dependent care spending accounts, EAP, group paid life insurance, group paid STD and LTD and voluntary life/AD&D insurance, accident and critical illness options.
• 401(k) with Company match, tuition reimbursement, healthy lifestyle reimbursements.
• Open PTO, Paid holidays, bereavement leave, parental leave, caregiver leave and paid FMLA leave.
• Friends and Family Friday to end our standard workweek at 2pm local time; Full company closure during the 4th of July holiday week.
• Access to pet insurance; Access for employees and dependents to Skillable learning opportunities through our product and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees