Security Architect with Dev Background

Jobs via Dice
Phoenix, Arizona 85003 United States  View Map
Posted: Jun 10, 2026
  • Full Time
  • Federal Government
  • Summary

    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.
    #J-18808-Ljbffr
  • Job Description

    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.
    #J-18808-Ljbffr
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