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GenAI Security Architecture Review Lead
Job in
Phoenix, Maricopa County, Arizona, 85027, USA
Listed on 2026-06-04
Listing for:
Artech LLC
Full Time
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
GenAI Security Architecture Review Lead
Location:
Phoenix AZ
Job :88936-1
Pay Rate: $37-$40(all Inclusive)
Duration: 6-12 Months
Introduction
This 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.
RequiredSkills & Qualifications
- Experience with Architecture Decision Records (ADRs) and Security Architecture Review Board (SARB) submissions.
- Deep understanding of GenAI systems architecture, LLM lifecycle, and model governance.
- Proficiency in enterprise security architecture frameworks such as SABSA, TOGAF, or NIST CSF.
- Strong authorship and analytical writing skills with clear articulation of decisions and consequences.
- Prior work experience at client or in client's industry.
Applicants must be able to work directly for Artech on W2.
PreferredSkills & Qualifications
- Familiarity with AI security patterns including threat modeling for LLMs, data leakage prevention, and agent control.
- Experience 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.
- 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.
- Author and maintain ADRs, patterns, and reference architectures, including those covering GenAI system integration, LLM usage, and multi-agent frameworks.
- Define and assess controls for GenAI systems, including model access, data boundary, and prompt injection defenses.
- Contribute to enterprise policy for responsible AI use and GenAI-assisted development.
- Provide domain expertise in application, cloud, and data security, augmented by AI security design considerations.
- Opportunities for continuous learning and development in emerging technologies.
- Supportive and collaborative work environment.
- Commitment to innovation and responsible technology adoption.
For immediate consideration please click APPLY to begin the screening process with Alex.
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