Job Description
The Future is Being Written Now. Nexus Horizon Labs is pioneering the next generation of Artificial Intelligence, preparing our infrastructure for the 2026 Horizon. We are seeking a visionary Senior AI & Future Tech Architect to lead the charge in designing scalable, ethical, and robust systems that define the year 2026.
In this role, you won't just maintain existing models; you will architect the foundational logic for the next wave of generative AI, ensuring our solutions are future-proof, secure, and capable of solving complex global challenges. If you are obsessed with performance, scalability, and the cutting edge of machine learning, we want to hear from you.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural architectures capable of handling enterprise-level workloads and complex reasoning tasks.
- Lead the 2026 Roadmap: Define the technical strategy for AI integration by 2026, focusing on AGI readiness and quantum-ready algorithms.
- Optimize Model Performance: Drive the reduction of inference latency and the improvement of model accuracy using advanced optimization techniques.
- Ensure Ethical AI Compliance: Implement robust guardrails and bias mitigation strategies to ensure AI outputs are safe, fair, and transparent.
- Collaborate with Cross-Functional Teams: Partner with product managers, data scientists, and security experts to translate technical requirements into actionable development plans.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and Rust.
- Experience: 5+ years of experience in machine learning engineering, specifically in LLMs (Large Language Models) and Generative AI.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization technologies.
- Problem Solving: Exceptional ability to troubleshoot complex performance bottlenecks and architectural challenges.