Security Architect with Dev Background

Overview

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Stanley David and Associates, is seeking the following.

Responsibilities

• Architecture Review & Advisory: Lead security reviews of solution and domain architectures, ADRs, and AI-enabled platforms.
• GenAI & Agentic design review: Assess GenAI and agentic solution designs for model security, data protection, prompt integrity, provenance, and safe orchestration of agents.
• Standards alignment: Evaluate proposals for alignment with enterprise standards, regulatory expectations, and risk tolerance.
• Documentation and governance: Produce actionable review comments with traceable recommendations, covering both traditional and AI-driven architectures.
• ADR authorship and governance: Author and maintain ADRs, patterns, and reference architectures—including GenAI system integration, LLM usage, and multi-agent frameworks.
• Clarity of decisions: Ensure architectural documentation expresses the problem space, options, controls, and trade-offs clearly and defensibly.
• Structured architectural reasoning: Promote 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 defenses.
• Agent rails: Establish guardrails for AI agents performing autonomous actions or multi-step reasoning.
• Security of orchestration and oversight: Ensure secure orchestration, isolation, and human oversight mechanisms.
• Security assessment of frameworks: Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
• Policy contribution: 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.
• GenAI-enabled operations: Support teams in safely embedding GenAI copilots, RAG systems, and autonomous agents within business processes.
• Threat modeling: 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.
• Knowledge sharing: Develop reusable prompts, review heuristics, and decision frameworks that enhance SARB throughput and consistency.
• Mentorship: 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: GenAI systems architecture, LLM lifecycle, and model governance.
• AI security patterns: Threat modeling for LLMs, data leakage prevention, agent control.
• Communication and writing: Strong authorship and analytical writing—clear articulation of decisions and consequences.
• Tool familiarity: Familiarity with architectural diagramming, review automation, and GenAI-assisted design (e.g., LangChain, OpenAI GPT, Guardrails AI).
• Domain breadth: Broad experience across cloud, data, application, and API security domains.

Qualifications

• 7+ years of experience in architecture or security design, including AI-related systems.
• Desirable certifications: CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials (e.g., NIST AI RMF, MIT AI Ethics, Azure AI Engineer).
• Demonstrable experience with secure implementation of GenAI or autonomous agents in enterprise settings.
• Success measures: Secure-by-design adoption of GenAI and agentic capabilities across business domains.
• Deliverables: Clear, complete, and AI-assisted ADRs produced and reviewed efficiently.
• Risk reduction: Reduced residual security risk in AI and non-AI solutions through proactive architectural engagement.
• Thought leadership: Recognition as a thought leader in secure GenAI architecture and governance.

Overview

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Stanley David and Associates, is seeking the following.

Responsibilities

• Architecture Review & Advisory: Lead security reviews of solution and domain architectures, ADRs, and AI-enabled platforms.
• GenAI & Agentic design review: Assess GenAI and agentic solution designs for model security, data protection, prompt integrity, provenance, and safe orchestration of agents.
• Standards alignment: Evaluate proposals for alignment with enterprise standards, regulatory expectations, and risk tolerance.
• Documentation and governance: Produce actionable review comments with traceable recommendations, covering both traditional and AI-driven architectures.
• ADR authorship and governance: Author and maintain ADRs, patterns, and reference architectures—including GenAI system integration, LLM usage, and multi-agent frameworks.
• Clarity of decisions: Ensure architectural documentation expresses the problem space, options, controls, and trade-offs clearly and defensibly.
• Structured architectural reasoning: Promote 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 defenses.
• Agent rails: Establish guardrails for AI agents performing autonomous actions or multi-step reasoning.
• Security of orchestration and oversight: Ensure secure orchestration, isolation, and human oversight mechanisms.
• Security assessment of frameworks: Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
• Policy contribution: 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.
• GenAI-enabled operations: Support teams in safely embedding GenAI copilots, RAG systems, and autonomous agents within business processes.
• Threat modeling: 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.
• Knowledge sharing: Develop reusable prompts, review heuristics, and decision frameworks that enhance SARB throughput and consistency.
• Mentorship: 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: GenAI systems architecture, LLM lifecycle, and model governance.
• AI security patterns: Threat modeling for LLMs, data leakage prevention, agent control.
• Communication and writing: Strong authorship and analytical writing—clear articulation of decisions and consequences.
• Tool familiarity: Familiarity with architectural diagramming, review automation, and GenAI-assisted design (e.g., LangChain, OpenAI GPT, Guardrails AI).
• Domain breadth: Broad experience across cloud, data, application, and API security domains.

Qualifications

• 7+ years of experience in architecture or security design, including AI-related systems.
• Desirable certifications: CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials (e.g., NIST AI RMF, MIT AI Ethics, Azure AI Engineer).
• Demonstrable experience with secure implementation of GenAI or autonomous agents in enterprise settings.
• Success measures: Secure-by-design adoption of GenAI and agentic capabilities across business domains.
• Deliverables: Clear, complete, and AI-assisted ADRs produced and reviewed efficiently.
• Risk reduction: Reduced residual security risk in AI and non-AI solutions through proactive architectural engagement.
• Thought leadership: Recognition as a thought leader in secure GenAI architecture and governance.

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