Job Description
Are you ready to architect the digital landscape of tomorrow? We are seeking a visionary AI Infrastructure Architect to lead our 2026 roadmap. You won't just be writing code; you will be defining the standards for the next generation of intelligent systems.
At Quantum Leap Systems, we are building the foundational layers of the AI era. As a key member of our elite engineering team, you will bridge the gap between theoretical machine learning and scalable production infrastructure. If you thrive on solving complex challenges and want to leave a lasting impact on the future of technology, this is your opportunity.
Responsibilities
- Lead the architectural design and deployment of large-scale AI and Machine Learning pipelines.
- Optimize model inference latency and improve throughput for high-volume production environments.
- Collaborate with data scientists to translate research models into robust, scalable production services.
- Define and enforce best practices for cloud-native AI infrastructure, security, and compliance.
- Mentor junior engineers and foster a culture of continuous innovation within the engineering squad.
- Research and evaluate emerging technologies (e.g., edge computing, quantum-inspired algorithms) for future 2026 integration.
Qualifications
- Master’s degree in Computer Science, Physics, or a related field; PhD preferred.
- Minimum of 5 years of experience in backend engineering and large-scale distributed systems.
- Expert proficiency in Python, TensorFlow, PyTorch, and SQL.
- Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven track record of deploying ML models serving millions of requests per day.
- Strong problem-solving skills with a focus on scalability, reliability, and performance.