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Maze · 4 months ago

AI Director

United States

Full-time

Remote

Director/Executive

7+ years exp

Maze is a well-funded startup focused on generative AI cybersecurity solutions. As the AI Director, you will lead the AI research and implementation strategy, driving innovation and overseeing the development of AI capabilities that enhance product differentiation and customer value.

Artificial Intelligence (AI)Machine LearningNetwork Security

Responsibilities

Lead AI Strategy and Research Direction: Own the technical roadmap for AI capabilities, staying ahead of the research curve to identify and validate new techniques that can transform our cybersecurity solutions

Drive Innovation Through Prototyping: Design and build end-to-end prototypes of new AI techniques, serving as the technical product manager to guide engineering implementation of breakthrough capabilities

Build Comprehensive Evaluation Systems: Develop robust frameworks for evaluating agent performance, LLM fine-tuning results, and end-to-end product capabilities, ensuring our AI systems deliver measurable improvements

Enable Technical Excellence: Work closely with engineering teams to review AI system architecture, guide implementation decisions, and maintain the highest standards for our LLM and agent-based solutions

Scale AI Team and Capabilities: Directly manage and develop AI talent, building processes and technical standards that enable the team to deliver breakthrough innovations efficiently

Partner with Engineering Leadership: Collaborate closely with our CTO and engineering teams to ensure AI research translates into product capabilities that drive customer value and competitive advantage

Stay at the Research Frontier: Continuously monitor and evaluate the latest developments in LLMs, agent frameworks, and AI techniques relevant to cybersecurity applications

Qualification

LLM expertiseGenerative AIAI research applicationTechnical leadershipTechnical architectureNLP expertiseTeam leadershipCybersecurity knowledgeAI safetyEvaluation methodologies

Required

Deep LLM/Generative AI Expertise: 7+ years in AI/ML with at least 3+ years focused specifically on LLMs, generative AI, and agent systems - you must have hands-on experience with modern transformer architectures, fine-tuning techniques and agent frameworks

Proven Senior Technical Leadership: Track record leading AI research and development at top-tier organizations (DeepMind, OpenAI, Anthropic, Microsoft AI, Google AI or similar), with experience translating research into product capabilities

Research and Implementation Balance: Ability to stay current with cutting-edge AI research while also building working prototypes and evaluation systems - comfortable moving from papers to proof-of-concepts to production guidance

Strategic Product Thinking: Experience applying AI research to solve real-world problems, with understanding of how to measure and optimize AI system performance for business outcomes

Technical Architecture Excellence: Strong software engineering fundamentals with ability to design scalable AI systems, review complex codebases and guide technical implementation decisions

Team Leadership and Development: Proven experience managing and developing AI talent, with ability to mentor researchers and engineers while building high-performing technical teams

NLP and Agent Systems Focus: Deep expertise in natural language processing and autonomous agent systems, with hands-on experience with frameworks like LangChain, LlamaIndex, or similar