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Information Technology 🏢 Full Time ⭐️ Verified

AI Solutions Architect 2026

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation as we build transformative solutions for 2026. We're seeking a visionary AI Solutions Architect to design next-generation intelligent systems that will redefine industries. You'll work with cutting-edge technologies like quantum-ML hybrids and autonomous neural networks, shaping the future of human-AI collaboration. Our culture rewards bold thinkers who thrive at the intersection of research and practical application. Enjoy competitive benefits, flexible work arrangements, and the opportunity to impact billions of lives through ethical AI development.

Responsibilities

  • Design scalable AI architectures integrating quantum computing and edge AI for 2026 use cases
  • Lead cross-functional teams in developing production-grade ML pipelines with 99.99% uptime SLAs
  • Research and prototype novel AI techniques including explainable AI and federated learning systems
  • Architect solutions for real-time autonomous decision-making at petabyte-scale data volumes
  • Collaborate with product teams to translate business requirements into technical specifications
  • Drive innovation through patent development and publication in top-tier AI conferences
  • Maintain ethical AI governance frameworks aligned with 2026 regulatory standards

Qualifications

  • 10+ years in AI/ML architecture with 5+ years in quantum or edge computing
  • Expertise in distributed ML frameworks (TensorFlow, PyTorch) and cloud-native deployment
  • Proven track record of shipping production AI systems serving 10M+ users
  • PhD in Computer Science/ML or equivalent research experience
  • Strong background in MLOps, CI/CD for AI, and infrastructure-as-code
  • Published research in NeurIPS/ICML or equivalent tier conferences
  • Certifications in AWS/GCP/Azure ML platforms and Kubernetes

Required Skills

Quantum Computing Machine Learning Architecture Edge AI MLOps TensorFlow PyTorch Distributed Systems Cloud AI Research Leadership Ethics in AI

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