Senior AI Architect, Application Security
New
G
GuidePoint SecurityCybersecurity, AI security
Remote (Anywhere in the U.S.)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 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. High School Diploma + 7 years of experience OR Bachelor’s Degree (BS/BA) + 3 years of experience OR Master’s Degree (MS/MA).
- Required Skills
- PythonJavascriptTypeScript
Requirements
- Meet one of the stated education and experience pathways: High School Diploma plus 7 years of experience; Bachelor’s Degree (BS/BA) plus 3 years; or Master’s Degree (MS/MA).
- Have at least 3 years of experience in security architecture, application security, software engineering, or platform engineering, with ownership of system-level design decisions.
- Have at least 1 year of experience in enterprise consulting or client-facing technical advisory.
- Demonstrate hands-on experience designing and building AI agents and agentic systems, including orchestration, prompt engineering, tool calling, MCP servers, retrieval-augmented generation, context management, and evaluation harnesses.
- Be able to explain personally built agentic systems, architecture and security tradeoffs, evaluation of output quality, and lessons from failed approaches.
- Be proficient with LLM APIs and SDKs such as OpenAI, Anthropic, Amazon Bedrock, or Azure OpenAI.
- Have development and scripting skills in Python, TypeScript/JavaScript, or a comparable language.
- Demonstrate the ability to threat model and securely architect AI-native and agentic systems, with practical knowledge of the OWASP Top 10 for LLM Applications and OWASP Top 10 for Agentic Applications.
- Have working knowledge of application security assessment, threat modeling, secure code review, application architecture review, and Secure SDLC practices.
- Be able to communicate architecture decisions and AI strategy to engineering teams and executive stakeholders and lead by influence.
Responsibilities
- Design the architecture, technical roadmap, and secure design of the Practice’s agentic delivery platform, including agents, skills, prompts, tool integrations, MCP servers, and orchestration workflows.
- Build and maintain agentic capabilities, including workflows, retrieval and context strategies, integrations, and evaluation harnesses.
- Threat model and secure internal AI systems, applying least-privilege tool scopes, autonomy boundaries, client-data protections, and governance controls.
- Serve as a forward-deployed security architect on client engagements, reviewing and hardening application and AI architectures.
- Deliver client-facing AI strategy, governance, threat modeling, security architecture, and production-adoption roadmaps.
- Develop and deliver AI security training and enablement for clients and internal consultants.
- Represent GuidePoint Security in technical discussions with AI labs and model providers, and evaluate new platform capabilities.
- Set AI architecture direction, review designs, mentor consultants, and partner with leadership on service offerings and client pursuits.
- Contribute to AI and agentic security research and marketing through conference speaking, writing, webinars, and open-source tooling.
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