AI; API; AWS; Cryptography; DB Architecture & Design; Git (GitHub, GitLab, BitBucket, SVN); Machine Learning; Azure; Big Data; eCP; Google Cloud Platform; Palo Alto; Postgres / Postgresql; ServiceNow | Job Title: Security Architect - Architecture Review, GenAI & Governance Role Summary
- The Security Architect will be part of a team whose role is to assure enterprise security architecture with a focus on the review and authorship of Architecture Decision Records (ADRs) and Security Architecture Review Board (SARB) submissions.
- The role blends deep technical acumen with emerging expertise in Generative AI (GenAI)and Agentic systems, ensuring secure design, governance, and responsible adoption of intelligent automation within the enterprise.
Key Responsibilities - Architecture Review & Advisory Lead security reviews of solution and domain architectures, ADRs, and AI-enabled platforms.
- Assess GenAI and agentic solution designs for model security, data protection, prompt integrity, provenance, and safe orchestration of agents.
- Evaluate proposals for alignment with enterprise standards, regulatory expectations, and risk tolerance.
- Produce actionable review comments with traceable recommendations, covering both traditional and AI-driven architectures.
- Authoring & Governance Author and maintain ADRs, patterns, and reference architectures including those covering GenAI system integration, LLM usage, and multi-agent frameworks.
- Ensure architectural documentation expresses the problem space, options, controls, and trade-offs clearly and defensibly.
- Promote structured architectural reasoning supported by both human and GenAI-assisted analysis workflows.
- GenAI & Agentic Security Define and assess controls for GenAI systems, including Model access, data boundary, and prompt injection defences.
- Guardrails for AI agents performing autonomous actions or multi-step reasoning.
- Secure orchestration, isolation, and human oversight mechanisms.
- Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
- Contribute to enterprise policy for responsible AI use and GenAI-assisted development.
- Technical Leadership Provide domain expertise in application, cloud, and data security augmented by AI security design considerations.
- Support teams in safely embedding GenAI copilots, RAG systems, and autonomous agents within business processes.
- Lead threat modeling for composite systems where GenAI interacts with APIs, data stores, and user environments.
- Continuous Improvement & Automation Use and refine GenAI tools for document review, security design assistance, and ADR quality assurance.
- Develop reusable prompts, review heuristics, and decision frameworks that enhance SARB throughput and consistency.
- Mentor peers in human-AI collaborative authoring, emphasizing accountability and verification of AI output.
- Core Competencies Enterprise security architecture (SABSA, TOGAF, NIST CSF).
- GenAI systems architecture, LLM lifecycle, and model governance.
- AI security patterns (threat modeling for LLMs, data leakage prevention, agent control).Strong authorship and analytical writing clear articulation of decisions and consequences.
- Familiarity with tools for architectural diagramming, review automation, and GenAI-assisted design (e.g., LangChain, OpenAI GPT, Guardrails AI).
- Broad experience across cloud, data, application, and API security domains.
Qualifications Bachelor s or master s in computer science, Cybersecurity, or related field. |
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