Job Description
The Future is Now. Nexus Core Systems is at the forefront of defining the 2026 AI landscape. We are seeking a visionary Lead AI Architect to spearhead the development of next-generation autonomous agents and large-scale generative models. If you are passionate about pushing the boundaries of what is possible in machine learning and want to shape the roadmap for the next decade, we want to hear from you.
As a key member of our elite engineering team, you will bridge the gap between theoretical research and production-grade scalability. You will be responsible for the end-to-end lifecycle of our AI infrastructure, ensuring our solutions are not only state-of-the-art but also robust and secure.
Responsibilities
- Architect & Scale: Design and implement high-performance, distributed AI architectures capable of handling petabytes of data and millions of concurrent requests.
- Research & Development: Lead the R&D initiative for the 2026 roadmap, focusing on Transformer optimization, reinforcement learning, and multimodal learning.
- MLOps Leadership: Establish and maintain CI/CD pipelines for machine learning, automating model training, evaluation, and deployment to ensure rapid iteration.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Planning: Collaborate with product leadership to translate business goals into technical AI roadmaps and feasibility studies.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and large-scale system design.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of Neural Network architectures and optimization techniques.
- MLOps: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Proven ability to solve complex, ambiguous problems in high-pressure environments.