Job Description
We are pioneering the The 2026 Standard for next-generation intelligence. As a Lead AI Architect, you will bridge the gap between theoretical AI breakthroughs and scalable enterprise infrastructure.
Join a team of visionaries dedicated to shaping the technological landscape of the upcoming decade. You will be responsible for designing the core neural architectures that power our proprietary systems, ensuring they are future-proof, ethical, and exponentially scalable.
Responsibilities
- Design and implement advanced neural network architectures aligned with the 2026 Standard framework.
- Oversee the full machine learning lifecycle, from data ingestion to model deployment and monitoring.
- Collaborate with cross-functional teams to integrate AI capabilities into our core product ecosystem.
- Optimize existing models for speed, accuracy, and resource efficiency on edge devices.
- Stay ahead of the curve regarding emerging AI regulations and ethical guidelines for 2026 and beyond.
- Mentor junior engineers and foster a culture of continuous innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Minimum of 7 years of experience in machine learning engineering or AI architecture roles.
- Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Experience with Large Language Models (LLMs) and Generative AI deployment strategies.
- Strong understanding of vector databases and RAG (Retrieval-Augmented Generation) architectures.
- Proven track record of leading technical teams and delivering high-impact projects on time.