Job Description
Join Nexus Future Systems as we pioneer the technological landscape of 2026. We are looking for a visionary Lead AI Architect to define the next generation of intelligent systems. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering.
What You'll Do:
- Architect and deploy large-scale machine learning models that drive our core product vision.
- Lead a high-performance team of engineers in developing Generative AI and predictive analytics solutions.
- Define technical roadmaps and infrastructure strategies for future scalability.
- Optimize neural networks for high-performance computing environments.
- Establish best practices for data governance, model deployment, and ethical AI usage.
Why This Role?
Be at the forefront of innovation. We offer competitive equity packages, a fully remote-first culture, and the opportunity to work on projects that will define the industry standard for years to come.
Responsibilities
- Design robust, scalable, and secure AI infrastructure using cloud-native technologies.
- Oversee the full machine learning lifecycle from data ingestion to model deployment and monitoring.
- Collaborate with cross-functional product teams to translate business requirements into technical AI solutions.
- Conduct rigorous code reviews and technical mentorship to elevate team engineering standards.
- Research emerging AI trends, including LLMs and edge computing, to stay ahead of the curve.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in software engineering with a strong focus on machine learning and deep learning.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed systems, microservices architecture, and containerization (Docker, Kubernetes).
- Proven experience leading technical teams and managing complex projects.