AI Security Architect: GenAI & Agentic Guardrails

Jobtailor

Webster (MA)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

Jobtailor is seeking a senior AI security architect to design and govern security frameworks for Generative AI and Agentic AI. You will enable secure AI across the lifecycle—from data ingestion to deployment and monitoring—and act as the enterprise SME on AI-specific threats and controls.

You will lead threat modeling, establish guardrails, and collaborate with engineering, governance, and compliance teams to reduce risk.

Qualifications

  • 10+ years in cybersecurity architecture or engineering roles.
  • Strong knowledge of modern AI/ML architectures, Generative AI, RAG, and Agentic AI architectures, pipelines, and tooling.
  • Experience with LLM security, prompt safety testing, adversarial AI risks, and AI security control design.
  • Experience securing enterprise AI platforms and cloud AI services, including Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, or equivalent.
  • Experience applying AI security and governance frameworks such as NIST AI RMF and MITRE ATLAS.
  • Understanding of AI-based attacks and threats.
  • Strong knowledge of data protection and controls required to protect data.
  • Knowledge of creating and communicating cybersecurity risks to technical and non-technical audiences.
  • Experience working in AI/ML or data engineering environments.
  • Proven track record designing enterprise security frameworks or architecture patterns.
  • Excellent communication with technical and non-technical stakeholders.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Leadership skills to guide engineering teams and influence organizational policy.
  • Knowledge of regulatory frameworks specific to insurance, including HIPAA and PCI.
  • Experience operating within complex enterprise environments with distributed platform, cloud, or infrastructure ownership.

Responsibilities

  • Design, implement, and govern security frameworks and requirements for AI, including Generative AI and Agentic AI
  • Enable secure AI technologies throughout the solution lifecycle, including model development, deployment, inference, and monitoring
  • Serve as SME on AI-specific security risks, threats, and controls across the enterprise
  • Develop secure-by-design architecture guidelines for AI/ML platforms from data ingestion to inference
  • Define security architectures and guardrails for Generative AI, Agentic AI, AI agents, and orchestration frameworks
  • Lead AI-specific threat modeling and reusable security patterns for GenAI, RAG, and Agentic AI
  • Define reference security architectures and guardrails to minimize manual review friction
  • Partner with engineering to automate security guardrails and controls
  • Design risk-based AI security controls meeting regulatory and enterprise requirements
  • Identify and evaluate AI-specific threats, tools, and best practices
  • Lead AI-specific risk assessments and security design reviews
  • Work with red teams to validate model robustness against adversarial attacks
  • Define and maintain AI security requirements, standards, and technical controls
  • Partner with Data & AI Governance, Advanced Analytics, platform engineering, cloud security, and compliance teams
  • Assess cybersecurity risks of third-party AI vendors, models, platforms, and services and recommend mitigating controls
  • Define security logging, monitoring, detection, and response requirements for AI systems

Skills

Cybersecurity Architecture
AI Security Control Design
Generative AI Security
NIST AI RMF Framework
Cloud AI Services Security
AI-Specific Security Patterns
Model Robustness Validation
Threat Modeling
Security Logging & Monitoring
AI Security Requirements Definition

Tools

Azure OpenAI
AWS Bedrock
Google Vertex AI
Databricks

Job description

Jobtailor is seeking a senior AI security architect to design and govern security frameworks for Generative AI and Agentic AI. You will enable secure AI across the lifecycle—from data ingestion to deployment and monitoring—and act as the enterprise SME on AI-specific threats and controls.

You will lead threat modeling, establish guardrails, and collaborate with engineering, governance, and compliance teams to reduce risk.

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