Description
GuidePoint Security is looking for a skilled AI Architect to support the Application Security Practice. The AI Architect will be required to demonstrate strong AI/LLM engineering, agentic system design, and security architecture skills, and lead by influence across technical and business audiences.
The Application Security Practice helps clients identify, understand, and remediate risk in the applications and AI systems they build and buy. The team performs hands-on technical assessments, threat modeling, secure code reviews, and architecture reviews, and builds and matures application security programs and Secure SDLC capabilities across clients' organizations.
Key responsibilities include:
- Architecting and scaling the agentic delivery platform behind architecture reviews, threat modeling, program reviews, code reviews, and penetration testing
- Building technical relationships with AI labs to put new platform capabilities to work for clients quickly
- Advancing client AI strategy, AI governance, and secure AI adoption
- Serving as a forward-deployed security architect on client engagements
- Delivering client-facing AI strategy and advisory services
- Developing and delivering AI and AI security training and enablement
- Acting as a primary technical point of contact with AI labs and model providers
- Leading GuidePoint Security's technical participation in lab subject-matter-expert and partner programs
- Contributing to AI and agentic security research and marketing initiatives
Requirements include:
- High School Diploma + 7 years of experience OR Bachelor's Degree (BS/BA) + 3 years of experience OR Master's Degree (MS/MA)
- Minimum of three (3) years of experience in a security architecture, application security, software engineering, or platform engineering role
- Minimum of one (1) year of experience in an enterprise-level consulting or client-facing technical advisory role
- Demonstrable hands-on experience designing and building AI agents and agentic systems
- Proficiency building against LLM APIs and SDKs (e.g., OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI)
- Demonstrated ability to threat model and securely architect AI-native and agentic systems
Preferred experience includes:
- Over seven (7+) combined years of IT and information security experience
- Experience delivering AI strategy, AI governance, or responsible-AI advisory work to enterprise clients
- Experience as a forward-deployed, embedded, or resident architect working day-to-day alongside client engineering teams
- Experience developing and delivering technical training, workshops, or enablement programs