Job Description
Are you ready to define the technological landscape of the coming decade?
We are seeking a visionary Senior AI Architect to join our elite engineering team. At Quantum Leap Technologies, we are not just building software; we are architecting the infrastructure for the 2026 era of Artificial Intelligence. You will be at the forefront of developing scalable, robust, and ethical AGI (Artificial General Intelligence) systems designed to revolutionize industries.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are resilient, efficient, and future-proof.
Why Join Us?
- Work with a world-class team pushing the boundaries of AI.
- Competitive compensation package with equity options.
- Flexible remote-first policy with premium office amenities in SF.
Responsibilities
- Architect and deploy scalable machine learning pipelines and neural network infrastructures for production environments.
- Lead the R&D strategy for 2026 AI roadmaps, identifying emerging technologies like Neuro-Symbolic AI.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional product teams to translate complex AI capabilities into user-centric features.
- Optimize model performance, latency, and throughput for edge and cloud deployments.
- Ensure AI systems are explainable, fair, and compliant with global ethical standards.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, C++, and major frameworks (TensorFlow, PyTorch, JAX).
- Strong background in distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
- Proven track record of leading large-scale machine learning initiatives from conception to deployment.
- Experience with LLMs (Large Language Models), Transformers, and Generative AI models.
- Master’s or PhD in Computer Science, Robotics, or a related technical field.