Job Description
Are you ready to define the technology stack of 2026?
Nexus Horizon is seeking a visionary AI Systems Architect to lead our next-generation research division. In this pivotal role, you won't just be writing code; you will be architecting the intelligent systems that will power the future economy. We are looking for a pioneer who thrives on ambiguity and is obsessed with pushing the boundaries of Artificial General Intelligence (AGI) and Neural Interfaces.
As a key member of our elite engineering team, you will bridge the gap between theoretical research and production-grade infrastructure, ensuring our solutions are scalable, secure, and revolutionary.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable AI architectures capable of handling next-generation data volumes and complexity.
- Pioneer Research Implementation: Translate cutting-edge academic research into practical, deployable machine learning models and frameworks.
- Optimize Neural Networks: Continuously refine model performance, focusing on latency reduction, energy efficiency, and accuracy in edge environments.
- Lead Technical Vision: Mentor a team of top-tier engineers and researchers, establishing coding standards and architectural best practices for the 2026 roadmap.
- Collaborate Across Disciplines: Work closely with product managers, designers, and domain experts to align technical solutions with business objectives.
- Ensure Ethical AI: Implement robust governance frameworks to ensure AI systems are fair, transparent, and aligned with human values.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow. Experience with Large Language Models (LLMs) and Generative AI is highly preferred.
- System Design: Proven track record of designing high-availability, distributed systems for mission-critical applications.
- Problem Solving: Exceptional ability to deconstruct complex problems and devise elegant, efficient engineering solutions.
- Communication: Excellent written and verbal communication skills; capable of presenting complex technical concepts to non-technical stakeholders.