Job Description
Are you ready to define the technology landscape of 2026? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead the development of our next-generation Generative Intelligence platform. In this high-impact role, you won't just be maintaining existing systems; you will be architecting the foundational models that will power the enterprise of tomorrow.
We are looking for a technical polymath with a passion for the future of Artificial General Intelligence (AGI). You will work in a state-of-the-art facility in the heart of San Francisco, collaborating with top-tier researchers and engineers to solve the most complex challenges in neural network scalability and ethical AI deployment.
Why Join Us?
- Work on cutting-edge research that defines the next decade of tech.
- Competitive compensation and equity packages.
- Unlimited PTO and a remote-first culture with a premium office space.
Responsibilities
- Architect Scalable Infrastructure: Design and implement robust, distributed AI infrastructure capable of handling exabyte-scale data processing.
- Pioneer New Algorithms: Lead research initiatives into Transformer variants and neuromorphic computing to improve model efficiency by 40%.
- Model Deployment: Oversee the end-to-end lifecycle of Large Language Models (LLMs), from training to inference optimization.
- Cross-Functional Leadership: Mentor a team of 10+ AI engineers and Data Scientists, fostering a culture of innovation and continuous learning.
- Ethical AI Compliance: Ensure all AI systems adhere to the latest ethical guidelines and safety protocols for autonomous agents.
- Strategic Roadmapping: Define the technical roadmap for the company's AI initiatives to ensure alignment with business goals and 2026 market trends.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on Machine Learning and Deep Learning.
- Technical Mastery: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
- LLM Expertise: Proven track record of working with LLMs, fine-tuning models, and optimizing inference speeds.
- Leadership: Demonstrated ability to lead high-performing technical teams and manage complex cross-functional projects.
- Problem Solving: Exceptional analytical skills with a deep understanding of statistical modeling and optimization theory.