Job Description
Are you ready to define the technological future?
Quantum Leap Systems is on a mission to engineer the foundational infrastructure for the year 2026. We are seeking a visionary Lead AI Architect to spearhead our next-generation initiatives, moving beyond current paradigms to build autonomous systems, advanced generative models, and quantum-ready cloud architectures.
In this role, you will not simply optimize existing systems; you will architect the roadmap that prepares our enterprise for the radical shifts expected in the global tech landscape by 2026.
Why Join Us?
- Impact: Work on cutting-edge projects that define the industry standard.
- Flexibility: Hybrid work model based in the heart of San Francisco.
- Growth: Direct exposure to executive leadership and high-stakes decision making.
Join us in building the future.
Responsibilities
- Architect the 2026 Roadmap: Design and implement a long-term technical strategy that anticipates market trends, focusing on AI agentic workflows and next-gen edge computing.
- Lead R&D Initiatives: Spearhead research and development into Generative AI and Multimodal models, ensuring our proprietary algorithms remain ahead of the curve.
- Scalable Infrastructure: Build resilient, distributed systems capable of handling petabyte-scale data with sub-millisecond latency.
- Technical Mentorship: Foster a culture of innovation by mentoring senior engineers and architects, establishing best practices for MLOps and DevSecOps.
- Stakeholder Collaboration: Translate complex technical concepts into actionable insights for non-technical stakeholders and product leadership.
- Performance Optimization: Continuously analyze system bottlenecks and deploy high-impact optimizations to ensure maximum efficiency.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (Ph.D. preferred).
- Experience: 8+ years of software engineering experience with at least 3 years in a senior AI or Architect role.
- Technical Stack: Deep proficiency in Python, C++, or Rust; extensive experience with PyTorch, TensorFlow, or JAX.
- Cloud Mastery: Demonstrated expertise in designing systems on AWS, Azure, or Google Cloud Platform (GCP).
- System Design: Strong understanding of distributed systems, microservices architecture, and Kubernetes.
- Soft Skills: Exceptional leadership skills with a proven track record of driving cross-functional teams to success.