Job Description
We are seeking a visionary Lead AI Infrastructure Architect to pioneer the technical landscape of 2026. At Nexus Future Systems, we are building the backbone of the next generation of artificial intelligence. You will be responsible for designing scalable, high-performance architectures that power autonomous systems and generative models at scale.
If you are passionate about the future of technology and want to shape how AI is deployed globally, this is your opportunity to lead from the front.
Responsibilities
- Design & Architect: Design and implement cutting-edge infrastructure for large-scale machine learning pipelines and neural networks.
- Scalability: Architect systems capable of handling exabyte-scale data processing and real-time inference.
- Optimization: Lead initiatives to optimize GPU cluster utilization and reduce latency in distributed environments.
- Collaboration: Partner with Data Scientists and ML Engineers to translate theoretical models into robust, production-ready infrastructure.
- Cloud Strategy: Define and implement cloud-native strategies using Kubernetes and serverless computing paradigms.
- Security: Ensure data integrity and implement enterprise-grade security protocols for AI workloads.
Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- Experience: 7+ years of experience in systems architecture, with at least 3 years in AI/ML infrastructure.
- Technical Skills: Proficiency in Python, TensorFlow/PyTorch, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- System Design: Strong understanding of distributed systems, message queues, and microservices architecture.
- Leadership: Proven track record of leading technical teams and mentoring junior engineers.
- Future-Proofing: Deep understanding of emerging technologies relevant to the 2026 landscape, such as Edge AI and Quantum computing integration.