[Hiring] Security Architect @Veridic Solutions

Role Description

• 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
  • 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.
• 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.
• 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.
• 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.
• 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.

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.

Requirements

• 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.