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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Architect

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Innovation Architect to design next-generation systems that bridge human potential with artificial intelligence. This role demands visionary thinking, technical mastery, and a passion for redefining what's possible. You'll lead initiatives in quantum-assisted machine learning, ethical AI frameworks, and human-AI symbiosis while shaping our product roadmap for the next decade. Our dynamic environment offers unparalleled resources to transform ambitious concepts into reality.

Responsibilities

  • Architect scalable AI solutions integrating quantum computing and neural networks
  • Develop ethical AI governance frameworks ensuring responsible deployment
  • Lead cross-functional teams in building prototypes for 2026-era applications
  • Conduct horizon scanning to identify emerging technologies with strategic impact
  • Design human-AI collaboration interfaces enhancing productivity and creativity
  • Present innovation roadmaps to C-suite stakeholders and industry partners
  • Publish thought leadership on AI's societal and economic transformation

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years industry experience
  • Proven expertise in quantum machine learning and neural architecture search
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Mastery of MLOps pipelines and cloud-native AI deployment (AWS/Azure/GCP)
  • Deep understanding of AI ethics frameworks and regulatory landscapes
  • Experience leading technical teams in agile innovation environments
  • Portfolio of deployed AI systems serving 1M+ users
  • Strong background in human-computer interaction and cognitive science

Required Skills

AI Architecture Quantum Computing Machine Learning Neural Networks Ethical AI MLOps Innovation Strategy Human-AI Interaction

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