Job Description
We are building the infrastructure for the next era of intelligence. Nexus Future Systems is seeking a visionary Senior AI Architect to lead our mission toward the 2026 Horizon. In this pivotal role, you will design and deploy scalable, self-learning neural networks that redefine the boundaries of what is possible in artificial general intelligence.
As a 2026 Horizon Architect, you will not just write code; you will architect the future. You will work with a world-class team of quantum researchers, data scientists, and security engineers to build resilient, high-throughput systems capable of processing petabytes of real-time data. If you are passionate about pushing the envelope of technology and want to shape the AI landscape of tomorrow, this is your opportunity.
Why Join Us?
- Competitive compensation and equity package.
- Remote-first culture with a focus on collaboration.
- Access to cutting-edge hardware and proprietary datasets.
- Opportunity to define the technical roadmap for the next decade.
Responsibilities
- Architect Future-Proof Systems: Design high-availability, fault-tolerant AI infrastructure capable of scaling to millions of concurrent requests.
- Model Optimization: Implement advanced techniques for model compression and edge deployment, ensuring low-latency performance in diverse environments.
- Research Integration: Bridge the gap between theoretical research and production engineering, translating academic breakthroughs into scalable software products.
- Team Leadership: Mentor junior engineers and architects, fostering a culture of innovation, code quality, and continuous learning.
- Security & Ethics: Lead initiatives to ensure AI safety, fairness, and robust data governance standards are met across all platforms.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically in Machine Learning or AI infrastructure.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or JAX. Deep understanding of distributed systems and cloud architecture (AWS, GCP, or Azure).
- AI Expertise: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Proven track record of solving complex, large-scale technical challenges in fast-paced environments.