AI Security Architect
Indexed description
About the Role
The AI Security Architect will play a crucial role in developing and implementing security architecture for Agentic AI, focusing on agentic AI architecture and Retrieval-Augmented Reasoning.
Responsibilities
- 15+ Years of experience in Agentic AI architecture.
- Spec-driven development and agent harness design and evaluation.
- Multi-agent orchestration patterns and semantic enrichment.
- Knowledge graph integration and prompt engineering.
- Identity-as-code and policy-as-code implementation.
- Design-time and runtime governance on cloud platforms (AWS and GCP).
- End-to-end agentic AI architecture and design-to-code conversion.
- Security-platform architecture patterns and hands-on review across AWS and GCP.
- Alignment with enterprise security architecture patterns.
- Build the supervisor, intake, and data-source-level agents.
- Implement React-pattern reasoning loops and design/tune the retrieval pipeline.
- Lead prompt and evaluation engineering.
- Own architecture and diagrams; collaborate closely with the client's Global designated technical stakeholders on design decisions.
- Oversee design-to-code conversion and testing; chair architecture review forums.
Qualifications
- 15+ Years of experience in relevant fields.
Required Skills
- Expertise in Agentic AI architecture.
- Proficiency in cloud platforms (AWS and GCP).
- Strong background in security architecture patterns.
Preferred Skills
- Experience with multi-agent orchestration patterns.
- Knowledge of semantic enrichment and knowledge graph integration.
Pay range and compensation package
Salary range: 200K W2 with benefits
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