Job Description
We are not just predicting the future; we are coding it. Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our team in designing the intelligent infrastructure of 2026. As the world accelerates towards autonomous agents and synthetic data ecosystems, we need a technical leader who can bridge the gap between theoretical breakthroughs and scalable, real-world deployment.
In this role, you will define the architectural roadmap for our next-generation AI platform, ensuring our solutions remain at the cutting edge of technology through 2026 and beyond. You will work in a collaborative, high-performance environment where innovation is the currency.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, scalable neural network architectures capable of handling petabyte-scale data streams.
- Lead the 2026 Roadmap: Identify emerging trends in AGI (Artificial General Intelligence) and spatial computing to guide the technical direction of the product team.
- Optimize Model Performance: Fine-tune Large Language Models and generative AI models for speed, accuracy, and energy efficiency.
- Bridge Theory and Practice: Translate complex research papers into production-ready code and engineering standards.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Security & Compliance: Implement rigorous data governance and ethical AI frameworks to ensure responsible deployment of autonomous systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 7+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML infrastructure.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Domain Knowledge: Deep understanding of Transformer architectures, Reinforcement Learning, and the specific challenges of deploying AI in 2026.
- Leadership: Proven track record of leading cross-functional teams and managing large-scale technical projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and investors.