Job Description
Shape the Future of Technology
QuantumLeap Technologies is pioneering the next generation of artificial intelligence, and we are seeking a visionary Senior AI Architect to define our roadmap for 2026 and beyond.
In this high-impact role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will lead a team of world-class engineers, architecting systems that are not only efficient today but resilient enough to power the demands of tomorrow.
Why Join Us?
- Work on cutting-edge generative AI and predictive modeling.
- Competitive equity package and remote-first culture.
- Access to top-tier hardware for model training.
If you are ready to build the infrastructure for the AI revolution, we want to hear from you.
Responsibilities
- Strategic Leadership: Define the long-term technical vision and architectural strategy for our AI infrastructure, specifically targeting 2026 scalability goals.
- System Design: Design and oversee the implementation of robust, fault-tolerant distributed machine learning systems and large language models (LLMs).
- Performance Optimization: Drive initiatives to reduce latency, improve inference speeds, and optimize resource utilization in cloud environments.
- Team Mentorship: Mentor senior engineers and junior developers, fostering a culture of innovation, continuous learning, and technical excellence.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and stakeholders to translate business requirements into technical roadmaps.
- R&D Integration: Evaluate and integrate emerging AI frameworks and hardware accelerators (e.g., TPUs, GPUs) to maintain a competitive edge.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
- Experience: 7+ years of professional software engineering experience, with at least 3+ years specifically focused on Machine Learning and AI architecture.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS, GCP, or Azure).
- System Design: Strong understanding of distributed systems, microservices, and high-availability architecture.
- Problem Solving: Proven track record of solving complex technical challenges and optimizing large-scale data pipelines.
- Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to diverse audiences.