Job Description
We are on the precipice of a technological revolution. At Nexus Horizon, we are building the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our Project 2026 initiative, focusing on next-generation predictive modeling and autonomous systems.
In this role, you will not just write code; you will architect the future. You will work in a high-performance environment where innovation is the currency, and your work will directly impact the next generation of intelligent systems. If you are ready to push the boundaries of what is possible in Artificial Intelligence, we want to hear from you.
Responsibilities
- Lead Architecture: Design and oversee the development of scalable, fault-tolerant AI systems capable of handling petabyte-scale data streams.
- Model Development: Spearhead the research and implementation of cutting-edge Machine Learning models, including LLMs and Computer Vision algorithms.
- Team Mentorship: Guide a team of top-tier engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Roadmap Strategy: Define the technical roadmap for Project 2026, ensuring alignment with business goals and industry standards.
- System Optimization: Continuously optimize model performance and reduce latency in real-time inference environments.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable solutions.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Algorithm Mastery: Proven track record of implementing complex algorithms from scratch in production environments.
- Problem Solving: Exceptional ability to troubleshoot complex issues and devise innovative engineering solutions.
- Leadership: Demonstrated experience leading technical teams and managing project lifecycles from conception to deployment.