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The Artificial Intelligence (AI) Security Architect is responsible for securing and governing the enterprises use of Agentic AI Generative AI (GenAI) and Large Language Models (LLM) systems. The architect ensures that AI solutions adhere to enterprise security architecture principles regulatory obligations and Model Risk Management requirements while enabling safe innovation across business lines. The role brings deep security expertise together with applied AI security threat modeling dataprotection strategy and enterprise architecture alignment.

Primary Responsibilities

1. Architecture & Design

• Develop and maintain enterprisegrade security architecture patterns for Agentic AI GenAI and LLMs systems aligned with approved Information Security and Enterprise Architecture platforms and principles.
• Incorporate security requirements across reference models solution architectures and system designs supporting AI use casesincluding model integration retrievalaugmented generation (RAG) autonomous agent workflows and sensitive data pathways.
• Ensure AI architectures support traceability auditability regulatory alignment and controlled autonomy of AI agents.
• Review and guide secure integration patterns for in-house developed AI thirdparty AI platforms external APIs vendorhosted and internally hosted LLMs and cloudbased AI services.

2. Security Risk Controls & Governance

• Lead security assessment and modeling of AI solutions under the enterprise AI Program governed by the AI Engineering Enterprise Architecture and Model Risk teams.
• Partner with Enterprise Security Services Model Risk Legal Compliance Operational Risk Procurement and Third-Party Management to assess risks of proposed AI use cases new vendors and data flows.
• Define and enforce security controls for model access identity authentication encryption and secure storage/retention of training and inference data.
• Evaluate modelspecific threats including data leakage model poisoning promptinjection insecure agent autonomy and unintended model behaviors.
• Continuously monitor the evolving threat landscape and integrate emerging trends into architecture decisions security controls and program strategy.

3. CrossEnterprise Enablement

• Serve as the primary liaison between Enterprise Architecture Information Security Lines of Business and Shared Services for all AI initiatives.
• Translate regulatory environmental and technology constraints into secure model design patterns and operational controls.
• Advise senior leadership including Information Security management and CISO stakeholders on AI security risks technology decisions and emerging threats.
• Contribute to the Security Domain Architecture team and broader strategic AI architecture discussions.

4. Threat Modeling & Defensive Engineering

• Partner with Security Architecture teammates on enterprise threat modeling in in conjunction with other Cybersecurity teams for AI pipelines agent interactions embeddings RAG systems and autonomous workflow orchestration.
• Evaluate cyber defense and vulnerability assessment implications for AIpowered applications ensuring resilience against adversarial AI techniques.
• Drive design of countermeasures in alignment with industry frameworks (e.g MITRE ATLAS) to mitigate identified AIrelated risks.

Required Knowledge & Skills

• Deep understanding of authentication authorization identity systems and accesscontrol mechanisms applicable to AI systems.
• Strong background in cloud network and application security controls relevant to model hosting AI APIs and highscale inference workloads.
• Experience in cryptography encryption key management and secure datahandling practices for training finetuning embedding generation and inference logs.
• Familiarity with enterprise information security architecture frameworks and servicemanagement methodologies.
• Understanding of regulatory compliance and modelrisk considerations for AI systems in a financialservices context.
• Ability to communicate complex security and AI concepts to technical and nontechnical stakeholders with clarity.
• Maintain ongoing expertise in emerging cyber risks and AIdriven threat vectors through continuous research industry engagement and handson evaluation of new technologies.

Preferred Experience

• Designing or securing LLMbased solutions (RAG prompt engineering agent orchestration vector databases).
• Experience with enterprisescale AI security platforms and AIspecific threatmitigation tools.
• Prior architecture experience in highly regulated industries (financial services banking or similar).

Education & Certification

• Bachelors in information security Computer Science Engineering or a related field or equivalent work experience.
• Relevant certifications (e.g. CISSP CCSP AWS/Azure/GCP security AIrelated credentials) are preferred.

COMPENSATION AND BENEFITS

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

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