Job Description
Are you ready to define the future of Artificial Intelligence?
Nexus Horizon Solutions is seeking a visionary Lead AI Architect to spearhead our 2026 roadmap. As we stand on the precipice of the next technological revolution, you will be responsible for architecting the neural frameworks and infrastructure that will power the next decade of intelligent systems.
In this role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will lead a team of elite engineers and researchers, setting the standard for ethical, efficient, and groundbreaking AI solutions.
Why Join Us?
- Impact First: Your code will shape the foundational architecture of future technologies.
- Innovation Culture: We operate in a state-of-the-art facility in the heart of San Francisco, dedicated to R&D.
- Competitive Compensation: We offer a top-tier salary and equity package.
Responsibilities
- Architect 2026 Vision: Design and implement the high-level architecture for next-generation Generative AI models and autonomous systems.
- Roadmap Leadership: Define the technical strategy and milestones for the 2026 product release cycle, ensuring alignment with business goals.
- Model Optimization: Oversee the training, fine-tuning, and deployment of Large Language Models (LLMs) to ensure maximum performance and efficiency.
- Team Mentorship: Lead, mentor, and recruit top-tier engineering talent, fostering a culture of technical excellence and continuous learning.
- Technical Governance: Establish best practices for data privacy, security, and model interpretability.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and stakeholders to translate complex technical concepts into actionable roadmaps.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a lead architecture role focusing on AI/ML.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- AI Expertise: Deep understanding of Deep Learning, Neural Networks, NLP, and Computer Vision.
- Problem Solving: Proven track record of solving complex scalability and performance challenges in cloud environments (AWS/GCP).
- Leadership: Strong ability to manage high-performing teams and drive technical vision from concept to deployment.