Job Description
Join the Pioneers of the 2026 Era.
We are seeking a visionary Lead AI Architect to define the technological roadmap for Nexus Horizon Systems. As we prepare for the next wave of generative intelligence and autonomous systems, you will be responsible for architecting the scalable infrastructure that will define the landscape of 2026 and beyond.
In this role, you won't just build software; you will engineer the cognitive backbone of our future products. You will bridge the gap between theoretical AI breakthroughs and production-grade stability, ensuring our systems are resilient, efficient, and ahead of the curve.
Why join us?
We offer the autonomy to experiment with cutting-edge architectures and the resources to build world-class AI solutions.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural network architectures capable of handling the computational demands of 2026-era generative models.
- Optimization Strategy: Drive performance optimization for Large Language Models (LLMs) and computer vision systems, focusing on latency reduction and throughput enhancement.
- Technology Roadmap: Lead the technical vision for integrating emerging technologies (e.g., Neuromorphic Computing, Edge AI) into our core product suite.
- Team Leadership: Mentor a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
- Security & Compliance: Ensure all AI systems adhere to rigorous data privacy standards and ethical AI guidelines.
- R&D Collaboration: Partner with product managers to translate complex AI capabilities into user-centric features.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years in leading AI/ML architecture for large-scale systems.
- Core Tech Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; deep understanding of distributed computing systems.
- AI Mastery: Demonstrated expertise in training, fine-tuning, and deploying Transformer models (GPT, BERT, LLaMA) and diffusion models.
- System Design: Strong background in system design, database engineering, and cloud infrastructure (AWS, GCP, or Azure).
- Leadership: Proven track record of leading cross-functional teams and managing technical debt.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.