Job Description
Are you ready to define the future of technology? Nexus Horizon is leading the charge into the 2026 era of computing, where Generative AI meets Quantum potential. We are seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure projects. This is not just a job; it is an opportunity to build the systems that will power the world in 2026 and beyond.
As a critical member of our 'Future-Tech' division, you will work on cutting-edge applications of Large Language Models (LLMs), autonomous agents, and neural-symbolic reasoning. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable machine learning architectures tailored for high-velocity data environments.
- Lead the 2026 Roadmap: Collaborate with the executive team to define technical strategies and milestones for our upcoming product releases.
- Model Optimization: Drive the research and deployment of state-of-the-art deep learning models, focusing on efficiency and accuracy.
- Team Leadership: Mentor a world-class team of data scientists and engineers, fostering a culture of innovation and excellence.
- Cross-Functional Collaboration: Partner with product and engineering teams to seamlessly integrate AI capabilities into core business solutions.
- Ethical AI Governance: Establish frameworks for responsible AI, ensuring compliance and safety in all deployed models.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a leadership role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Ray, Dask).
- AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning is highly desired.
- Cloud Mastery: Extensive experience deploying models on AWS, GCP, or Azure using containerization technologies (Docker, Kubernetes).
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.