Job Description
About Nexus Future Labs
We are a leading technology firm pioneering the next generation of artificial intelligence. We are currently seeking a visionary Senior AI Architect to spearhead our groundbreaking Project 2026. In this role, you will define the architectural landscape for our next-generation AI systems, working with a world-class team to deploy scalable, robust, and ethically aligned AI solutions.
Why Join Us?
- Competitive salary and equity package in the heart of Silicon Valley.
- Flexible hybrid work environment.
- Top-tier health, dental, and vision coverage.
- Access to cutting-edge hardware and research facilities.
The Role
You will be responsible for designing the end-to-end machine learning infrastructure for Project 2026. Your work will directly impact how millions of users interact with the future of technology.
Responsibilities
- Architect and design scalable machine learning pipelines and data infrastructure for Project 2026.
- Lead the research and implementation of state-of-the-art Large Language Models (LLMs) and generative AI models.
- Optimize existing models for high-performance inference, focusing on speed and memory efficiency.
- Collaborate closely with data scientists and backend engineers to integrate AI capabilities into core products.
- Establish best practices for MLOps, model monitoring, and version control.
- Mentor junior engineers and conduct technical code reviews to ensure architectural integrity.
- Stay abreast of the latest advancements in AI research to drive innovation within the team.
Qualifications
- Ph.D., Master’s degree, or equivalent experience in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 6 years of experience in AI/ML engineering, with at least 3 years in a senior or lead architectural role.
- Deep proficiency in Python, PyTorch, and TensorFlow.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of NLP, transformer architectures, and deep learning fundamentals.
- Demonstrated ability to translate complex business requirements into robust technical solutions.