Job Description
Are you ready to define the technological landscape of the future?
Nexus Horizon is at the forefront of the AI revolution, pioneering solutions that will define the year 2026 and beyond. We are seeking a visionary Lead AI Architect to join our elite R&D division. In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade infrastructure.
You won't just be maintaining systems; you will be architecting the intelligence that powers our next generation of products. If you are obsessed with the future of AI and possess the technical prowess to build it, we want to hear from you.
Responsibilities
- Architect Future-Proof AI Systems: Design and implement robust, scalable AI/ML infrastructure that supports the high-volume demands of 2026 and beyond.
- Strategic Roadmapping: Define the long-term AI strategy for the company, identifying emerging trends in Generative AI and Neural Networks to stay ahead of the curve.
- Team Leadership: Mentor and lead a high-performing team of data scientists, ML engineers, and researchers, fostering a culture of innovation and technical excellence.
- Model Optimization: Oversee the full lifecycle of AI models, from initial research and prototyping to deployment, monitoring, and continuous improvement.
- Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex business requirements into cutting-edge technical solutions.
- Risk Management: Identify potential ethical and security risks in AI deployment, ensuring compliance with industry standards and data privacy regulations.
Qualifications
- Education: Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 10+ years of experience in software engineering and at least 5 years in leading AI/ML architecture projects.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
- Generative AI: Proven track record of working with Large Language Models (LLMs), NLP, and computer vision technologies.
- Leadership: Demonstrated ability to lead diverse technical teams and drive projects from concept to delivery.
- Problem Solving: Exceptional analytical skills with a passion for solving complex, ambiguous problems.