Senior AI Security Architect (AI)

Senior AI Security Architect

Company

Grayscale

Conditions

1 day agoSenior Stamford, USA Onsite Full Time Engineering Jobs by Grayscale

Skills

Threat Ci Workflow Protection Development Agent Architecture Terraform Modeling Security Cloud Infrastructure Aws Llm Audit Python Compliance Cd Data Regulation Engineering Ssdlc Governance Ai

About the Role

You will design and implement security controls for AI enabled systems including LLM based applications and agentic workflows. You will work closely with engineering data product and compliance teams to define secure architecture patterns, protect sensitive data, and ensure AI driven processes remain explainable and auditable. You will stay current on emerging AI security risks and help shape the long term AI security strategy.

Requirements

• 7+ years of experience in cybersecurity security engineering application security or security architecture.
• Experience designing and implementing security controls in cloud native environments preferably AWS.
• Strong understanding of security fundamentals including identity and access management data protection network security monitoring and incident response.
• Experience developing security standards architecture patterns and engineering guardrails for enterprise technology environments.
• Experience conducting threat modeling architecture reviews and security assessments for complex applications and platforms.
• Familiarity with AI ML systems including LLMs agentic workflows and AI enabled application architectures.
• Strong programming and scripting capabilities Python Terraform Infrastructure as Code with the ability to review analyze and validate technical implementations.
• Strong understanding of modern software development practices including CI/CD APIs cloud native architectures and secure software development lifecycle SSDLC principles.
• Experience operating in regulated environments with strong control audit and compliance requirements preferably within financial services.
• Strong communication skills with the ability to influence engineering teams and translate complex security risks into practical technical solutions.

Responsibilities

• Partner with engineering teams to design secure AI enabled systems and define the security requirements controls and guardrails necessary for production deployment.
• Develop and maintain AI security standards reference architectures and approved design patterns for AI enabled applications platforms and workflows.
• Lead threat modeling architecture reviews and security assessments for AI use cases identifying risks such as prompt injection data leakage model misuse and unintended agent behavior.
• Define and implement controls to protect sensitive data including access controls data segregation lifecycle management logging monitoring and auditability requirements.
• Establish security requirements for enterprise AI platforms including model access tool permissions integration patterns and third party AI provider usage.
• Define validation monitoring detection and incident response requirements for AI enabled systems and partner with engineering and security operations teams to ensure effective implementation.
• Establish secure patterns for the use of AI throughout the software development lifecycle including code generation developer tooling and AI assisted engineering workflows.
• Assess and manage technical and operational risks associated with AI systems and third party providers including exception management risk acceptance and regulatory alignment.
• Partner with compliance audit and business stakeholders to ensure AI enabled processes meet regulatory control and governance requirements.
• Stay current on emerging AI security risks technologies frameworks and best practices helping shape the long term AI security strategy.

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