Principal AI Agent Trust Strategist and Architect (AI)

TL;DR

Principal AI Agent Trust Strategist and Architect (AI): Exploring, shaping, and representing the future of AI agent trust by developing a deep understanding of autonomous and agentic systems. Focus on building lightweight prototypes, advising product teams on agent-trust solutions, and contributing to industry discussions around AI agents, autonomy, and trust.

Location: Tel Aviv

Company

hirify.global enables trusted engagement across the open web in the human-bot-AI agent era, identifying and evaluating authenticity, context, and intent for real-time trust and risk decisions.

What you will do

• Research agentic systems and autonomous architectures, focusing on agentic interactions across the open web.
• Develop models and approaches to profile, classify, and assess agentic interactions.
• Build lightweight prototypes or proofs-of-concept to validate ideas and assumptions.
• Advise product teams as they explore and productize agent-trust solutions.
• Act as a bridge between research, product, engineering, and data teams.
• Represent the company on topics related to AI agents, autonomy, and trust, contributing to thought leadership.

Requirements

• Strong curiosity about AI agents and how they are enabled and behave in real-world systems.
• Solid technical foundation, with hands-on experience or the ability to prototype independently.
• Experience working with modern software systems, platforms, or APIs.
• Exposure to AI, automation, or intelligent systems.
• Ability to turn ambiguity into clear, actionable technical direction.
• Excellent communication skills, both technical and conceptual.

Nice to have

• Background in systems design, platform engineering, security, or data products.
• Familiarity with AI-agent related emerging ecosystems, frameworks, or industry standards.
• Experience speaking, writing, or engaging publicly on technical topics.
• Interest in trust, reliability, safety, or responsible AI.

Culture & Benefits

• Work on cutting-edge challenges at the intersection of AI, autonomy, and trust.
• Influence both product direction and industry thinking around agentic systems.
• Collaborate with talented teams across product, engineering, and data.
• Shape new capabilities from early exploration through real-world impact.