Team Leader (AI Agent Development)

TL;DR

Team Leader (AI Agent Development): Leading and mentoring a team developing AI-based Agents, ensuring high-quality delivery across multiple agent projects. Focus on driving development processes, maintaining clear communication with stakeholders, and supporting the team through the full lifecycle of agent development.

Location: Hybrid

Company

hirify.global, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise.

What you will do

• Lead, mentor, and grow a team of AI-agent developers, fostering a collaborative and high-performance environment.
• Own team execution: sprint planning, priorities, delivery commitments, and production support.
• Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring, and continuous improvement.
• Maintain a clear capability matrix and roadmap across multiple agents and integrations.
• Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
• Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

Requirements

• Strong software engineering background with experience in AI/ML and LLMs; preferably agent-based systems.
• At least 3 years of team leadership experience, including mentoring, guiding execution, and managing deliverables.
• Track record of shipping complex projects and supporting production systems in a fast-paced environment.
• Excellent organizational and communication skills; able to manage multiple parallel efforts and maintain visibility across projects.
• Experience with cloud environments, modern development practices, and production monitoring tools.
• BSc in Computer Science or similar.

Nice to have

• Experience developing or maintaining AI agents or LLM-based systems.
• Ability to balance hands-on engineering with people leadership.
• Demonstrated ability to manage multi-stream execution with clarity and structure.