Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior AI Architect to lead our next-generation infrastructure. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable engineering solutions, ensuring we are ahead of the curve in the rapidly evolving tech ecosystem of the coming years.
We are not just building software; we are architecting the future. You will work with a world-class team of researchers and engineers to deploy cutting-edge Large Language Models (LLMs) and autonomous systems that will define the industry standard for 2026 and beyond.
Why Join Us?
- Future-Proof Your Career: Work on the core architecture that will power the next decade of technology.
- High Impact: Your decisions will directly influence the roadmap for global AI adoption.
- Top-Tier Compensation: Competitive salary plus equity and comprehensive benefits.
Responsibilities
- Architecting the 2026 Roadmap: Define and execute the long-term technical strategy for AI infrastructure, anticipating trends in Generative AI, Quantum Computing integration, and Edge AI.
- System Design: Design scalable, fault-tolerant distributed systems capable of handling petabyte-scale data for model training and inference.
- Model Optimization: Lead initiatives to optimize Large Language Models for latency, cost-efficiency, and performance in production environments.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
- Security & Compliance: Implement rigorous security protocols to ensure AI model integrity and data privacy, adhering to global standards.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership and non-technical stakeholders.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture and deep learning.
- Technical Proficiency: Strong proficiency in Python, C++, and experience with major deep learning frameworks (PyTorch, TensorFlow, JAX).
- System Architecture: Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Kubernetes/Docker).
- Strategic Vision: Demonstrated ability to think long-term and lead technical initiatives that align with business goals.
- Communication: Exceptional written and verbal communication skills, with the ability to articulate complex technical ideas effectively.