Job Description
We are on the cusp of a technological revolution, and Nexus Future Systems is leading the charge. We are seeking a visionary Lead AI Infrastructure Architect to design the backbone of our next-generation autonomous systems. If you are passionate about building scalable, fault-tolerant architectures that support the demands of 2026 and beyond, we want to meet you.
In this pivotal role, you will bridge the gap between theoretical AI research and production-grade infrastructure. You will be responsible for architecting systems that can handle petabytes of neural network data, optimize edge computing, and ensure our generative AI models run with zero latency.
Join us in shaping the future of intelligent technology.
Responsibilities
- Design and implement scalable, high-performance AI/ML infrastructure capable of supporting next-gen autonomous agents and generative models.
- Lead architectural decisions for large-scale distributed computing clusters, focusing on Kubernetes orchestration and microservices.
- Optimize neural network training pipelines to reduce latency and improve inference speeds for edge devices.
- Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Collaborate with cross-functional teams to define technical strategies that align with our 2026 product roadmap.
- Ensure system reliability, security, and compliance with evolving data governance regulations.
- Drive the adoption of cutting-edge tools such as Terraform, Docker, and serverless frameworks.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
- 8+ years of experience in full-stack software engineering with a focus on infrastructure.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed system design.
- Proven track record of scaling systems to handle billions of requests per second.
- Strong understanding of Kubernetes, AWS/Azure/GCP, and serverless architectures.
- Experience with database technologies including SQL (PostgreSQL) and NoSQL (Cassandra, DynamoDB).
- Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.