Job Description
Are you ready to define the standard for Artificial Intelligence by the year 2026?
Nexus Future Labs is seeking a visionary Senior AI Architect to lead our cutting-edge research division. In this pivotal role, you will design the neural architectures that will power the next generation of intelligent systems, ensuring our platform is ready for the demands of the 2026 landscape. You will bridge the gap between theoretical research and production-grade engineering, mentoring a team of elite data scientists and engineers.
Join us in building the future of AI from the heart of San Francisco.
Responsibilities
- Architect Scalable ML Infrastructure: Design and implement high-performance, fault-tolerant machine learning pipelines capable of handling petabyte-scale data streams.
- Define the 2026 Roadmap: Identify emerging trends in AI (e.g., AGI, Quantum Computing integration) and architect our roadmap to be future-proof by the target year of 2026.
- Lead Model Development: Spearhead the research and development of proprietary Large Language Models (LLMs) and generative AI agents.
- Optimize Inference: Reduce latency and cost through advanced model quantization and distributed inference techniques.
- Cross-Functional Leadership: Collaborate with product managers and security experts to ensure AI solutions are ethical, compliant, and scalable.
- Code Review & Mentorship: Establish rigorous engineering standards and mentor junior developers on best practices in deep learning.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architecture role.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Apache Spark, Ray).
- AI Expertise: Proven track record of deploying production-ready models, specifically in NLP or Computer Vision.
- Leadership: Demonstrated ability to lead engineering teams through complex technical challenges.
- Problem Solving: Exceptional analytical skills with a focus on solving open-ended, complex problems.