AI Security Architect

Hello,


Greetings for the day!


My name is Stella, and I am a Technical Recruiter at Futran Solutions. I am reaching out to you on an exciting job opportunity with one of our clients. Please let me know your interest and a good time to connect with you to take it forward.

Title: AI Security Architect
Location: Phoenix AZ - Onsite
Duration: Full Time / Contract


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 defenses.
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., Lang Chain, 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.
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.
Clear, complete, and AI-assisted ADRs produced and reviewed efficiently.
Reduced residual security risk in AI and non-AI solutions through proactive architectural engagement.
Recognition as a thought leader in secure GenAI architecture and governance.