Job Description
Are you ready to define the future of intelligent systems? 2026 is a pioneering tech firm dedicated to building autonomous AI solutions for the next decade. We are seeking a visionary Senior AI Architect to lead our research and development division in San Francisco.
As the architect of our core models, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for designing scalable neural architectures, optimizing inference latency, and mentoring a team of top-tier machine learning engineers. If you are passionate about pushing the boundaries of Large Language Models (LLMs) and Generative AI, this is your opportunity to shape the industry landscape.
Responsibilities
- System Architecture: Design and implement scalable, distributed AI systems capable of processing billions of parameters in real-time.
- Research & Development: Lead cutting-edge research in NLP, Computer Vision, and Reinforcement Learning to drive product innovation.
- Model Optimization: Reduce model complexity and latency through pruning, quantization, and efficient training strategies.
- Mentorship: Guide a high-performing team of AI engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into robust engineering solutions.
- Deployment: Oversee the full MLOps lifecycle, ensuring reliable CI/CD pipelines and model monitoring.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in software engineering with a strong focus on AI/ML.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
- Architecture: Deep understanding of distributed systems, microservices, and cloud-native architectures (AWS/GCP/Azure).
- Problem Solving: Proven track record of solving complex optimization problems and deploying models at scale.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.