Senior AI Architect, Application Security
New
G
GuidePoint SecurityCybersecurity
Remote (Anywhere in the U.S.)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 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
- 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 of experience, or a 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 a client-facing technical advisory role.
- Demonstrate hands-on experience designing and building AI agents and agentic systems, including orchestration frameworks, agent skills, prompt engineering, tool and function calling, MCP servers, retrieval-augmented generation, context management, and evaluation harnesses.
- Be able to explain agentic systems you personally designed and built, including architecture and security tradeoffs, evaluation of agent output, and failures.
- Be proficient building against LLM APIs and SDKs such as OpenAI, Anthropic, Amazon Bedrock, or Azure OpenAI.
- Have strong development and scripting skills in Python, TypeScript/JavaScript, or a comparable language.
- Be able 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, represent the organization with external technology partners, and lead by influence.
- Preferred: experience delivering enterprise AI strategy, AI governance, or responsible-AI advisory work, including alignment with NIST AI Risk Management Framework, ISO/IEC 42001, or the EU AI Act.
- Preferred: experience as a forward-deployed, embedded, or resident architect; delivering technical training; or participating in vendor partner or subject-matter-expert programs.
Responsibilities
- Design the architecture, technical roadmap, and secure design of the Practice’s agentic delivery platform, including agents, prompts, tool integrations, MCP servers, and orchestration workflows.
- Build and maintain agentic capabilities, including workflows, retrieval and context strategies, tool and data-source integrations, and evaluation harnesses.
- Threat model agent architectures and implement security controls, least-privilege tool scopes, autonomy boundaries, and client-data protections.
- Establish engineering standards and guardrails for AI-assisted delivery, including human-in-the-loop review, output validation, version control, change management, telemetry, and evidence of client-data handling.
- Embed with client teams to design, review, and harden application and AI architectures and support secure AI adoption.
- Deliver client AI strategy and advisory services, including architecture reviews, governance assessments, threat modeling, reference architectures, and deployment roadmaps.
- Develop and deliver AI and AI security training for clients and internal consultants.
- Represent GuidePoint Security in technical discussions with AI labs and model providers, evaluate platform capabilities, and lead participation in partner and subject-matter-expert programs.
- Set technical direction for AI architecture within the Practice, mentor consultants, shape service offerings, and contribute to research and marketing initiatives.
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