Job Description
We are Nexus 2026 Labs, a pioneering think-tank and technology agency dedicated to defining the trajectory of the next decade. We aren't just building software; we are architecting the future of human-machine collaboration. We are looking for a visionary Future-Ready AI Architect to join our elite team in San Francisco.
In this role, you will not just implement existing models; you will design the architectural blueprints for the technologies that will define the year 2026 and beyond. You will bridge the gap between theoretical AI research and scalable, real-world application, ensuring our solutions are ethical, efficient, and revolutionary.
If you possess a deep understanding of generative AI, large language models, and the ethical implications of autonomous systems, we want to hear from you. This is an opportunity to leave a lasting mark on the technological landscape.
Responsibilities
- Architect and deploy cutting-edge generative AI models and neural networks optimized for high-scale enterprise applications.
- Lead the technical strategy for our roadmap, defining the core features and capabilities of our 2026 product suite.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into robust technical solutions.
- Ensure the ethical deployment of AI, implementing rigorous bias detection and fairness protocols.
- Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
- Stay ahead of emerging trends in machine learning, quantum computing, and edge AI to keep Nexus 2026 at the forefront of the industry.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps pipelines.
- Proven track record of leading large-scale machine learning projects from conception to production.
- Strong understanding of natural language processing (NLP), computer vision, or reinforcement learning.
- Exceptional problem-solving skills and the ability to navigate ambiguity in a fast-paced, futuristic environment.