Senior AI Architect, Application Security

GuidePoint Security

. Architect, build, scale, and secure the agentic delivery platform supporting architecture reviews, threat modeling, program reviews, code reviews, and penetration testing .

Posted 11/2/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI architecture, security controls, and threat modeling while effectively communicating strategies to technical and executive stakeholders. Proficient in designing and building agentic systems with a strong focus on secure development practices and client engagement.

Highest-signal resume keywords

AI ArchitectureThreat ModelingAgentic Systems DesignPython DevelopmentClient-Facing Technical Advisory

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agents DesignAgent Orchestration FrameworksTool IntegrationsMCP ServersLLM APIsSecure SDLC PracticesApplication Security AssessmentSecure Code ReviewContext ManagementEvaluation Harnesses

Soft Skills

CommunicationLeadershipMentoringInfluenceCollaboration

Tools & Technologies

OpenAIAnthropicAmazon BedrockAzure OpenAIOWASP Top 10

Industry Keywords

Security ArchitectureApplication SecurityPlatform EngineeringAI GovernanceAI Security

Tech Stack

Tools & technologies

AzureJavaScriptPythonSDLCTypeScript

About the role

Key responsibilities & impact

Architect, build, scale, and secure the agentic delivery platform supporting architecture reviews, threat modeling, program reviews, code reviews, and penetration testing
Design and maintain agent workflows, retrieval and context strategies, tool and data-source integrations, MCP servers, and evaluation harnesses
Threat model agent architectures and implement least-privilege tool scopes, autonomy boundaries, client-data protection, model/provider governance, and AI security controls
Establish engineering standards and guardrails including human-in-the-loop review gates, output validation, prompt and agent version control, change management, telemetry, and client-data handling evidence
Serve as a forward-deployed security architect on client engagements with engineering, platform, data science, and security teams
Deliver client-facing AI strategy, AI governance, AI security architecture, threat modeling, reference architectures, and production roadmaps
Develop and deliver AI and AI security training for clients and internal consultants
Serve as primary technical contact with AI labs and model providers; evaluate platform capabilities and roadmaps
Lead technical participation in AI lab SME, partner, and certification programs
Act as senior technical authority and mentor for AI architecture; review designs, upskill consultants, and help shape service offerings and client pursuits
Contribute to AI and agentic security research and marketing through conferences, blog articles, whitepapers, webinars, and open-source tooling
Perform other duties as assigned

Requirements

What you’ll need

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 with demonstrated ownership of system-level design decisions
Minimum of one (1) year of experience in an enterprise-level consulting or client-facing technical advisory role
Hands-on experience designing and building AI agents and agentic systems, including agent orchestration frameworks, agent skills and prompt engineering, tool and function calling, MCP servers and tool integrations, retrieval-augmented generation, context management, and evaluation harnesses
Ability to substantiate AI experience in a technical interview by explaining personally designed and built agentic systems, architecture and security tradeoffs, evaluation of agent output quality, and failures
Proficiency building against LLM APIs and SDKs such as OpenAI, Anthropic, Amazon Bedrock, and Azure OpenAI
Strong development and scripting skills in Python, TypeScript/JavaScript, or a comparable language
Ability to threat model and securely architect AI-native and agentic systems
Practical command of the OWASP Top 10 for LLM Applications and OWASP Top 10 for Agentic Applications
Working knowledge of application security assessment, threat modeling, secure code review, application architecture review, and Secure SDLC practices
Ability to communicate architecture decisions and AI strategy to engineering teams and executive stakeholders
Ability to represent the organization credibly with external technology partners and lead by influence
Willingness to embrace emerging technologies, including AI tools
Up to 20% travel
Sedentary work
Substantial movement of wrists, hands, and/or fingers for a minimum of 8 hours a day
Close visual acuity for computer terminal viewing and/or extensive reading for a minimum of 8 hours a day

Benefits

Comp & perks

Remote workforce primarily (U.S. based only)
Group Medical Insurance options, including Zero Deductible PPO and High Deductible Health Plan with HSA
GuidePoint pays 90% of employee PPO premiums and 70% of family PPO premiums
GuidePoint pays 100% of employee HDHP premiums and 75% of family HDHP premiums
HSA contribution of $850 annually per employee or $1,750 annually per family
Group Dental Insurance with GuidePoint paying 100% of employee premiums and 75% of family premiums
12 corporate holidays
Flexible Time Off (FTO) program
Healthy mobile phone allowance
Home internet allowance
Eligibility for retirement plan after 2 months at open enrollment
Pet Benefit Option
Support for consultants earning relevant certifications after hire
Collaboration, mentorship, and guidance from colleagues