Job Description
We are at the forefront of the AI revolution, building the intelligent systems that will define the year 2026 and beyond. Quantum Nexus Systems is seeking a visionary Senior AI Architect to lead our research and development initiatives in Generative AI, Large Language Models (LLMs), and autonomous agents.
In this role, you will not just build software; you will architect the cognitive frameworks of tomorrow. You will collaborate with top-tier engineers and data scientists to deploy scalable, ethical, and high-performance AI solutions that solve complex real-world problems. If you are passionate about the future of technology and want to leave a lasting impact on the industry, we want to hear from you.
Why Join Us?
- Competitive compensation and equity packages.
- Flexible remote-first culture with quarterly in-person innovation summits.
- Access to cutting-edge hardware and GPU clusters.
Responsibilities
- Design and implement scalable machine learning pipelines and distributed computing architectures.
- Lead the research and development of next-generation Generative AI models, focusing on LLMs and multimodal systems.
- Collaborate with cross-functional teams to integrate AI capabilities into core product offerings.
- Optimize model performance for speed, accuracy, and resource efficiency in production environments.
- Establish best practices for AI ethics, data privacy, and model interpretability.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in software engineering, with a strong focus on Machine Learning and AI.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying production-ready AI models at scale.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of NLP, computer vision, or reinforcement learning principles.