Job Description
Join Nexus Future Labs as our Senior AI Architect, where you will spearhead the technological infrastructure required to lead the industry into the year 2026. We are at the forefront of Generative AI and Autonomous Systems, and we need a visionary engineer to define the next generation of intelligent workflows.
In this pivotal role, you will bridge the gap between theoretical research and scalable production systems. You will be responsible for architecting robust neural networks that power our core products, ensuring they are secure, ethical, and capable of handling complex, real-world data inputs.
Our Commitment:
- Flexible remote-first policies with quarterly innovation retreats.
- Top-tier health, dental, and vision coverage.
- Generous equity packages and continuous learning budgets.
Responsibilities
- Architect and deploy next-generation Large Language Models (LLMs) optimized for enterprise efficiency.
- Lead the design of scalable MLOps pipelines to manage model lifecycle from experimentation to production.
- Collaborate with product teams to integrate AI agents into the 2026 roadmap product suite.
- Ensure model fairness, transparency, and robustness through rigorous testing and validation.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Research emerging trends in quantum computing and edge AI to future-proof our architecture.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 7+ years of experience in machine learning, deep learning, or AI research.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
- Proven ability to translate complex technical concepts into clear, actionable strategies.