Senior AI Architect, Application Security (Remote - US only)

IllTip; United States; Remote; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

IllTip, a cybersecurity consultancy focused on information security, seeks a Senior AI Architect for its application security practice in the United States. The role blends hands-on engineering, client advisory, and lab partnership work across AI-native and agentic systems.

The architect shapes the internal AI delivery platform and client AI strategy. Responsibilities include designing secure architectures, building agent workflows, threat modeling per OWASP/NIST/MITRE guidelines, and leading

Qualifikationen

• Bachelor’s degree plus 3 years of relevant experience, or a Master’s; high school diploma with 7 years accepted.
• At least 3 years in security architecture, app security, software engineering, or platform engineering with ownership of system-level design decisions.
• At least 1 year in an enterprise consulting or client-facing technical advisory role.
• Hands-on experience designing and shipping AI agents and agentic systems, including orchestration, tool calling, MCP servers, retrieval-augmented generation, and evaluation harnesses.
• Strong Python or TypeScript/JavaScript skills and experience building against LLM APIs and SDKs.
• Ability to communicate architecture and AI strategy to both engineering teams and executives.

Aufgaben

• Design the architecture and secure design of an internal agentic delivery platform used for architecture reviews, threat modeling, code reviews, and penetration testing.
• Build agent workflows, retrieval and context strategies, tool integrations, and evaluation harnesses that measure output accuracy and consistency against expert-reviewed baselines.
• Threat model the practice's AI systems and implement controls aligned to OWASP LLM and Agentic Top 10s, NIST AI RMF, and MITRE ATLAS.
• Serve as a forward-deployed security architect embedded with client engineering and security teams; lead client AI strategy and AI governance.
• Develop AI security training for clients and internal consultants; act as primary technical contact with AI model providers.

Kenntnisse

Python

TypeScript/JavaScript

Security architecture

AI agents

Client advisory

Executive communication

Ausbildung

Bachelor's degree

Master's degree

Tools

LLM APIs

SDKs

Jobbeschreibung

Some travel may be required (up to 20%). A profitable, privately held cybersecurity consultancy with a focus exclusively on information security is hiring a senior AI architect for its application security practice. The role blends hands-on engineering, client advisory, and lab partnership work across AI-native and agentic systems. The practice assesses and hardens the applications and AI systems that enterprises build and buy, and the architect will shape both its internal AI delivery platform and its client AI strategy.

Responsibilities

• Design the architecture and secure design of an internal agentic delivery platform used for architecture reviews, threat modeling, code reviews, and penetration testing.
• Build agent workflows, retrieval and context strategies, tool integrations, and evaluation harnesses that measure output accuracy and consistency against expert-reviewed baselines.
• Threat model the practice's own AI systems and implement controls aligned to the OWASP LLM and Agentic application Top 10s, the NIST AI RMF, and MITRE ATLAS, including least-privilege tool scopes and human-in-the-loop gates.
• Serve as a forward-deployed security architect embedded with client engineering and security teams, and lead client AI strategy, AI governance, and AI security architecture engagements.
• Develop AI security training for clients and internal consultants, and act as the primary technical contact with AI model providers.

Requirements

• Bachelor's degree plus 3 years of relevant experience, or a Master's degree; a high school diploma with 7 years of experience is also accepted.
• 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 an enterprise consulting or client-facing technical advisory role.
• Hands-on experience designing and shipping AI agents and agentic systems, including orchestration, tool calling, MCP servers, retrieval-augmented generation, and evaluation harnesses. Able to walk through specific systems built, their security tradeoffs, and where they failed.
• Strong Python or TypeScript/JavaScript skills and experience building against LLM APIs and SDKs.
• Ability to communicate architecture and AI strategy to both engineering teams and executives.

Applicants must be based in: United States.