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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Solutions Architect

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Shape the future of artificial intelligence in 2026 with QuantumLeap Technologies. We're seeking a visionary AI Solutions Architect to design next-generation systems that will redefine industries. Join our elite team in San Francisco where innovation meets impact, and lead projects that will power the next decade of technological advancement. You'll collaborate with Nobel laureates, pioneer ethical AI frameworks, and deploy solutions that touch billions of lives.

We offer unparalleled growth opportunities, a cutting-edge R&D budget of $50M+, and flexible hybrid work arrangements. Our culture celebrates intellectual curiosity and bold thinking - where your ideas could become the next paradigm shift in AI.

Responsibilities

  • Architect scalable AI solutions for 2026-era challenges including quantum-AI integration and neuromorphic computing
  • Lead cross-functional teams in deploying production-grade machine learning systems with 99.99% uptime
  • Design ethical AI governance frameworks ensuring compliance with 2026 global AI regulations
  • Pioneer next-gen generative AI models capable of autonomous scientific discovery
  • Develop real-time multimodal AI processing systems handling petabytes of edge data
  • Mentor junior engineers in advanced AI paradigms including synthetic consciousness research
  • Collaborate with quantum computing teams to hybridize classical and quantum neural networks

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years in large-scale AI system architecture
  • Expertise in transformer architectures, diffusion models, and quantum machine learning
  • Proven track record deploying AI systems serving 10M+ concurrent users
  • Deep understanding of 2026-era AI ethics, bias mitigation, and regulatory landscapes
  • Mastery of PyTorch, TensorFlow Quantum, and neuromorphic hardware programming
  • Experience with distributed AI training across hybrid cloud/quantum infrastructures
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR) since 2020

Required Skills

Quantum Machine Learning Neuromorphic Computing Generative AI Ethical AI Governance Multimodal Systems Hybrid Cloud Architecture PyTorch TensorFlow Quantum

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