Job Description
Nexus Future Systems is at the forefront of defining the technological landscape for the year 2026 and beyond. We are building the infrastructure that will power the next era of intelligent automation and human-AI collaboration. We are looking for a visionary Senior AI Systems Architect to lead our engineering team in designing scalable, secure, and high-performance AI systems.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and robust, production-grade software engineering. You will be responsible for the end-to-end architecture of our core AI platforms, ensuring they are resilient, efficient, and ready for the massive scale of future demands.
If you are passionate about the future of technology and want to leave a lasting impact on how the world processes information, we want to hear from you.
Responsibilities
- Design & Architecture: Define the high-level architecture for next-generation AI platforms, including model serving, data pipelines, and microservices.
- System Optimization: Lead initiatives to optimize inference speed, reduce latency, and minimize computational costs for large-scale models.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Technology Strategy: Evaluate and integrate emerging technologies (e.g., Quantum Computing interfaces, Edge AI) into our existing ecosystem.
- Security & Compliance: Implement rigorous security protocols to protect proprietary data and ensure adherence to regulatory standards.
- Scalability Planning: Architect systems capable of scaling from prototype to global deployment seamlessly.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML systems architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- Problem Solving: Proven track record of solving complex technical challenges in high-traffic environments.
- Leadership: Demonstrated ability to lead cross-functional teams and drive technical roadmaps.
- Future-Forward Thinking: Passion for exploring cutting-edge AI trends and their practical applications.