Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking a visionary AI Solutions Architect to design and implement cutting-edge AI frameworks that will redefine industries. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with a team of world-class innovators in our state-of-the-art San Francisco headquarters.
As a key member of our R&D division, you'll drive the development of next-gen AI systems that solve complex global challenges. We provide comprehensive benefits including equity packages, flexible work arrangements, and dedicated innovation time to explore your breakthrough ideas.
Responsibilities
- Architect scalable AI solutions for 2026-era challenges in autonomous systems and predictive analytics
- Lead cross-functional teams in implementing machine learning pipelines using quantum computing principles
- Develop ethical AI governance frameworks aligned with emerging 2026 regulatory standards
- Design neural network architectures for real-time data processing at exascale performance
- Collaborate with quantum hardware engineers to optimize AI-algorithm-hardware integration
- Create strategic roadmaps for AI adoption across enterprise and public sectors
- Mentor junior engineers in advanced AI paradigms and ethical implementation practices
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 8+ years industry experience
- Proven expertise in designing production-level AI systems handling petabyte-scale datasets
- Deep knowledge of quantum machine learning algorithms and hybrid classical-quantum architectures
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Experience with next-gen AI frameworks (TensorFlow Quantum, Cirq, or equivalent)
- Strong background in AI ethics and responsible AI implementation
- Ability to translate complex technical concepts into actionable business strategies
- Proficiency in Python, PyTorch, and quantum programming languages