Job Description
We are on a mission to define the technological landscape of the future. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our strategic roadmap towards the 2026 AI evolution. In this role, you will not just build models; you will architect the infrastructure that powers the next generation of generative intelligence.
If you are passionate about the trajectory of Artificial General Intelligence (AGI) and want to be at the forefront of innovation, this is your opportunity to shape the digital world of tomorrow.
Why Join Us?
- Impactful Work: Directly influence the AI standards set for 2026 and beyond.
- Top-Tier Compensation: Competitive salary plus performance bonuses.
- Innovation Culture: Work with a team of world-class researchers and engineers.
Responsibilities
- Architect Future-Proof Solutions: Design scalable and robust machine learning architectures capable of handling the computational demands of 2026-era AI workloads.
- Lead Strategic Research: Guide the R&D team in exploring emerging trends, including Large Language Models (LLMs), Multi-modal AI, and autonomous agents.
- Model Optimization: Engineer high-performance models that balance accuracy, speed, and resource efficiency.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Stakeholder Collaboration: Translate complex technical concepts into strategic roadmaps for executive leadership and product teams.
- Infrastructure Planning: Oversee the integration of AI workloads into cloud-native and on-premise environments.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Experience: 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a leadership or architecture role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Algorithm Mastery: Strong understanding of deep learning architectures, neural networks, and reinforcement learning.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure environments.
- Communication: Exceptional verbal and written communication skills, capable of presenting technical strategies to non-technical stakeholders.