Job Description
Nexus Future Systems is pioneering the technological landscape leading up to 2026. We are seeking a visionary Lead AI Infrastructure Architect to design the backbone of our next-generation generative AI platform. In this role, you will be instrumental in building systems that are not only scalable today but are future-proofed for the rapid advancements expected by 2026.
You will work at the intersection of hardware optimization and software engineering, ensuring our models run efficiently on next-gen compute resources while maintaining the highest standards of security and ethical AI practices. If you are passionate about defining the future of artificial intelligence, this is your opportunity to lead from the front lines.
Responsibilities
- Architect and deploy resilient, high-scale AI infrastructure capable of supporting billions of concurrent requests.
- Lead the optimization of Large Language Models (LLMs) for edge deployment and real-time inference.
- Define and implement the technical roadmap for 2026, integrating emerging quantum-ready algorithms.
- Collaborate with R&D teams to design novel neural network architectures that push the boundaries of current capabilities.
- Establish best practices for MLOps, ensuring seamless CI/CD pipelines for model training and deployment.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years dedicated to AI/ML infrastructure.
- Deep expertise in Python, Rust, and distributed systems design.
- Proven track record of deploying large-scale machine learning systems in production environments.
- Strong understanding of cloud-native technologies, containerization (Docker/Kubernetes), and serverless architectures.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.