Major Responsibilities

- Defines secure reference architectures for LLM, RAG, agentic, and other AI enabled systems across cloud and enterprise environments

- Leads AI threat modeling and identifies design controls for prompt injection, insecure output handling, excessive agent permissions, model abuse, data leakage, and supply chain risk

- Establishes architecture standards for identity, secrets management, data classification, network boundaries, logging, model access, and third party AI service consumption.

- Designs guardrails and security patterns for input filtering, grounding controls, policy enforcement, human in the loop checkpoints, and runtime monitoring

- Partners with engineering teams to embed security requirements into AI platforms, developer workflows, CI/CD pipelines, and production deployment patterns.

- Drives evaluation of AI security tooling, including posture management, red teaming, model and prompt testing, observability, and policy enforcement capabilities

- Creates implementation guidance, reference patterns, and design reviews that help teams deliver secure AI features consistently at scale

- Supports incident readiness by defining telemetry, detections, escalation points, and response considerations for AI specific security events

- Influences enterprise AI governance by connecting architecture decisions to risk, compliance, privacy, and acceptable use expectations

Minimum Job Requirements

Education

- Bachelor’s degree in Cybersecurity, Computer Science, Information Security, Software Engineering, Computer Engineering, or a related technical field

Certification / License

Work Experience

- 7 years of experience in cybersecurity, software security, cloud security, or security architecture roles

- 2 years of direct experience designing or securing AI, ML, LLM, or data intensive platforms in production environments

- Hands on experience with cloud native architecture patterns in AWS, Azure, or GCP, including IAM, logging, networking, encryption,



and secrets management

- Experience performing threat modeling, architecture review, and security design for up-to-date applications, APIs, and distributed systems

Knowledge / Skills / Abilities

- Strong understanding of AI system components, including models, prompts, retrieval layers, agents, plugins, orchestration frameworks, and data pipelines.

- Working knowledge of AI security risks such as prompt injection, insecure tool use, excessive autonomy, training data exposure, sensitive data leakage, and model supply chain concerns.

- Strong grasp of core security architecture domains, including identity, cryptography, application security, cloud security, logging, monitoring, and incident response.

- Clear communicator who can work across engineering, product, privacy, legal, and executive stakeholders

- Ability to translate security risk into practical technical requirements and influence engineers, architects, and platform owners.

Preferred Job Requirements

Education

- Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Software Engineering, Data Science, Machine Learning, or a related technical discipline.

Certification / License

- Cloud security, security architecture, or AI/ML related certifications are helpful but not required

Work Experience

- Experience securing AI platforms built on services such as AWS Bedrock, Anthropic, Azure OpenAI, Microsoft Azure AI, Google Vertex AI, or equivalent

- Experience with AI security testing, red teaming, prompt attack evaluation, or model and agent assessment techniques

- Familiarity with orchestration and agent frameworks

- Experience implementing policy, observability, and runtime control layers around AI systems and external tools

- Exposure to governance frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications, MITRE ATLAS, or similar guidance

Knowledge / Skills / Abilities

- Ability to balance secure by design principles with speed of delivery, and to convert emerging AI risks into practical standards, reusable patterns, and engineering guidance

📌 Cybersecurity AI Architect (Ramban)
🏢 Generac
📍 Ramban