GenAI Security Architect & Governance Lead

Saransh Inc; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Saransh Inc seeks a Security Architect to lead architecture reviews and governance for GenAI-enabled systems, including ADRs and SARB submissions. The role blends deep security design with evolving GenAI expertise to ensure secure, compliant adoption of intelligent automation.

You will author architecture decisions, assess model security, data protection, and prompt integrity, and promote responsible AI use across enterprise solutions.

Qualifications

• 7+ years of architecture or security design experience, including AI-related systems.
• Bachelor's or Master's in CS, Cybersecurity, or related field.
• Desirable certifications: CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials.
• Demonstrated experience with secure GenAI or autonomous agents in enterprise settings.

Responsibilities

• 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.

Skills

Security architecture

GenAI systems architecture

Threat modeling

AI governance

Documentation & writing

Education

Bachelor's or Master's in CS/Cybersecurity

Tools

LangChain

OpenAI GPT

Guardrails AI

Vertex AI

Azure OpenAI

Job description

Saransh Inc seeks a Security Architect to lead architecture reviews and governance for GenAI-enabled systems, including ADRs and SARB submissions. The role blends deep security design with evolving GenAI expertise to ensure secure, compliant adoption of intelligent automation.

You will author architecture decisions, assess model security, data protection, and prompt integrity, and promote responsible AI use across enterprise solutions.