AI Platform Lead

We’re seeking a senior, hands-on AI Platform Lead to take on a technical leadership and team lead role within a fast-growing startup building production-grade AI platforms for mission-critical industrial systems. Reporting to the CTO, you’ll lead and mentor an engineering team while remaining deeply involved in the architecture, design, and delivery of AI-driven software products operating in real-world environments.

About the Project

You’ll lead the evolution of an AI software platform that enables autonomous, data-driven decision-making for complex industrial systems. As the platform scales from early deployments to broader production use, you’ll guide architecture, delivery, and team execution to ensure reliability, scalability, and real-world performance.

Key Responsibilities:

• Lead the architecture, design, and implementation of agentic AI systems capable of goal-driven decision-making, planning, and autonomous action;

• Translate product and customer requirements into scalable, production-ready AI and software platform designs;

• Drive rapid iteration and deployment while ensuring system reliability, safety, and maintainability;

• Define engineering and AI platform standards to support long-term scalability and operational excellence;

• Balance learning-based approaches (RL, ML) with deterministic or rules-based components where appropriate;

• Participate in design and code reviews, troubleshooting complex technical challenges;

• Improve development efficiency through process optimization and technical leadership;

• Coordinate and technically guide a multidisciplinary team of ~30 engineers in collaboration with program management;

• Support customer-facing and sales discussions requiring deep AI and platform expertise.

Qualifications:

• 10+ years of experience building complex, production-grade software products, with a strong focus on AI/ML systems;

• Proven experience deploying decision-making or autonomous systems into customer cloud or hybrid environments;

• Strong foundation in machine learning, reinforcement learning, optimization, control systems, and statistics;

• Demonstrated experience designing and delivering agent-based or autonomous platforms;

• Excellent software engineering skills, particularly in Python and SQL (UX experience is a plus);

• Ability to make sound architectural and technical decisions with incomplete or imperfect data;

• Experience working in or scaling early-stage or Series A/B startup environments.

The recruitment process includes:

• 30-minute HR screening call (Zoom);

• 1-hour deep technical interview;

• Strategic discussion with senior technical leadership;

• Final offer and alignment meeting.