Senior AI Architect (Application Security)

Location: Remote; anywhere in the U.S. only. Up to 20% travel may be required.

Company

hirify.global is a privately held cybersecurity services and solutions provider serving Fortune 500 companies, U.S. government agencies, and other organizations.

What you will do

• Define the architecture, technical roadmap, and secure design of the Application Security Practice’s agentic delivery platform, including agents, prompts, skills, MCP servers, tool integrations, and orchestration workflows.
• Build agentic capabilities using retrieval and context strategies, data-source integrations, tool and function calling, and evaluation harnesses for output quality, coverage, and consistency.
• Apply secure-by-design controls to AI systems, including threat modeling, least-privilege tool scopes, autonomy boundaries, client-data protection, human review gates, output validation, version control, telemetry, and evidence of data handling.
• Act as a forward-deployed security architect and AI strategy lead for client engagements involving application and AI architecture reviews, threat modeling, governance assessments, and secure AI adoption.
• Develop and deliver AI security training for clients and consultants, and serve as the technical liaison with AI labs and model providers.
• Set technical direction for AI architecture, mentor consultants, shape service offerings, support client pursuits, and contribute to research, conference speaking, publications, webinars, and open-source security tooling.

Requirements

• High School Diploma with 7 years of experience, Bachelor’s Degree with 3 years of experience, or a Master’s Degree.
• At least 3 years in security architecture, application security, software engineering, or platform engineering with ownership of system-level design decisions.
• At least 1 year in enterprise consulting or a client-facing technical advisory role.
• Hands-on experience designing and building shipped 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.
• Ability to explain personally designed and built agentic systems, architecture and security tradeoffs, output-quality evaluation, and failures during a technical interview.
• Experience building with LLM APIs and SDKs such as OpenAI, Anthropic, Amazon Bedrock, or Azure OpenAI, with strong skills in Python, TypeScript/JavaScript, or a comparable language.
• Ability to threat model and securely architect AI-native and agentic systems, including practical knowledge 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 and AI strategy to engineering and executive audiences, represent the organization with external technology partners, and lead by influence.
• Willingness to adopt emerging AI technologies to solve problems and improve business outcomes.

Nice to have

• More than 7 combined years of IT and information security experience, including application security or software architecture responsibility.
• Enterprise AI strategy, AI governance, or responsible-AI advisory experience aligned with NIST AI RMF, ISO/IEC 42001, or the EU AI Act.
• Forward-deployed, embedded, or resident architect experience with client engineering teams.
• Experience delivering technical training, workshops, or enablement programs, or participating in vendor technical partner and SME programs.
• DevSecOps, platform engineering, or MLOps/LLMOps experience outside consulting.
• Information security community involvement through conferences, publications, open source, or podcasts.
• Relevant AI, application security, or architecture certifications; certifications are a plus, not a prerequisite.

Culture & Benefits

• Remote workforce is primarily U.S.-based only; some positions may require onsite work, and travel may be required.
• Collaborative workplace with mentorship, knowledgeable colleagues, and opportunities to work with leading security vendors and AI labs.
• Medical, dental, and HSA insurance options with substantial employer contributions.
• 12 corporate holidays, flexible time off, mobile phone and home internet allowance, pet benefits, and retirement-plan eligibility after two months at open enrollment.
• Sedentary work with extensive computer use and close visual acuity required for at least 8 hours per day.

Hiring process

• Be prepared to substantiate AI experience in a technical interview by explaining personally built agentic systems, design tradeoffs, evaluation methods, and failures.
• Application communication may come through Greenhouse Software and Zoom Scheduler; check the spam folder for updates.