Job Description
Are you ready to architect the future of artificial intelligence? Nexus Horizon AI is seeking a visionary Lead AI Architect to define the next generation of Generative AI systems. As we prepare for the technological landscape of 2026, you will be at the forefront of building scalable, ethical, and high-performance models that will revolutionize industries.
In this pivotal role, you will bridge the gap between theoretical research and production engineering, leading a world-class team of ML engineers and data scientists. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and multimodal AI, we want to hear from you.
Why Join Us?
- Future-Proof Your Career: Work on cutting-edge technology designed to dominate the 2026 AI market.
- Competitive Compensation: Top-tier salary and equity package.
- Remote-First Culture: Flexible working arrangements for top talent.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable AI infrastructure and generative model pipelines.
- Model Development: Spearhead research and implementation of state-of-the-art Large Language Models (LLMs) and transformer architectures.
- Team Mentorship: Guide a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
- Performance Optimization: Drive initiatives to reduce inference costs and improve latency for real-time AI applications.
- AI Ethics & Safety: Establish guidelines and frameworks for responsible AI deployment, ensuring bias mitigation and data privacy.
- Strategic Roadmapping: Collaborate with product leaders to translate business goals into technical roadmaps for the 2026 release cycle.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Deep Learning.
- Experience: 8+ years of experience in software engineering, with at least 5 years dedicated to AI/ML architecture.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX; proven experience training LLMs (e.g., GPT, Llama, Claude architectures).
- System Design: Strong background in distributed systems, high-availability systems, and cloud-native architecture (AWS/GCP/Azure).
- Leadership: Demonstrated ability to lead cross-functional teams and manage technical projects from conception to deployment.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.