Job Description
Are you ready to engineer the future of autonomous intelligence? 2026 Systems is a next-generation research lab pioneering the architecture for sentient computing. We are seeking a visionary Lead AI Architect to design the core neural frameworks that will power the next decade of technological evolution.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable, production-grade systems. You will lead a high-performing team of data scientists and engineers, ensuring our AI solutions are not only robust but ethically sound and future-proof. Join us in shaping the digital landscape of 2026 and beyond.
Responsibilities
- Architect and deploy state-of-the-art deep learning models for large-scale data processing.
- Lead the technical strategy for model optimization, focusing on inference latency and cost efficiency.
- Mentor and develop a world-class engineering team, fostering a culture of innovation and continuous learning.
- Establish best practices for MLOps, data governance, and model explainability.
- Collaborate with cross-functional stakeholders to define product roadmaps for AI-driven solutions.
- Stay at the forefront of emerging technologies, including Generative AI and Neuromorphic computing.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 8+ years of experience in designing and implementing large-scale Machine Learning systems.
- Deep proficiency in Python, PyTorch, or TensorFlow.
- Extensive experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of leading engineering teams through complex technical challenges.
- Strong understanding of AI ethics, bias mitigation, and regulatory compliance.