Senior AI Architect, Application Security

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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GuidePoint Security

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

GuidePoint Security is a cybersecurity firm offering consulting, engineering, and managed services to help organizations secure their digital assets. The company specializes in application security, cloud security, data protection, email security, threat intelligence, and identity and access management. With solutions tailored to various platforms including AWS, Microsoft, Google Cloud, and OT environments, GuidePoint Security aims to enhance cybersecurity resilience for both enterprise and government clients. They focus on integrating advanced security technologies and providing expertise in risk assessment, compliance, and security awareness education, helping clients navigate complex cybersecurity challenges and improve their security posture.

📋 Description

• 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

• 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

• 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

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