Job Description
Join Nexus Horizon Innovations as we define the technological landscape for the year 2026. We are seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems. In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our solutions are ready for the future of computing.
As a key architect on our team, you will be responsible for designing the core infrastructure that powers our proprietary neural networks and quantum algorithms. You will work in a collaborative, high-performance environment where innovation is not just encouraged, but required. If you are passionate about pushing the boundaries of what is possible in AI and want to shape the future of technology, we want to hear from you.
Responsibilities
- Architect and design scalable AI systems compliant with 2026 security and performance standards.
- Lead the research and implementation of advanced machine learning models, including Generative AI and Reinforcement Learning.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Optimize existing neural networks for speed, accuracy, and energy efficiency in post-silicon environments.
- Establish coding standards, review code, and mentor junior engineers to foster a culture of excellence.
- Stay ahead of industry trends and evaluate emerging technologies to integrate them into our roadmap.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Proven track record of leading high-impact projects and teams in a fast-paced environment.
- Strong understanding of quantum computing fundamentals and NISQ-era applications.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.