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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of AI-driven innovation for 2026 and beyond. We're seeking visionary AI Futurists to architect intelligent systems that will redefine human-machine interaction across industries. This is your opportunity to shape tomorrow's digital landscape while working with world-class researchers in a culture that celebrates radical creativity.

Our San Francisco headquarters offers an unparalleled environment for breakthrough thinking, complete with state-of-the-art R&D labs and collaborative spaces designed for cross-disciplinary synergy. As part of our core innovation team, you'll influence product roadmaps while maintaining ethical AI frameworks that prioritize human-centric advancement.

Responsibilities

  • Architect next-generation AI systems with 2026+ capabilities
  • Lead cross-functional teams in developing predictive AI models
  • Define ethical frameworks for autonomous decision-making algorithms
  • Collaborate with quantum computing specialists for hybrid AI solutions
  • Present futuristic AI concepts to C-suite executives and industry partners
  • Research emerging technologies (neuromorphic computing, generative AI)
  • Drive innovation sprints for 5+ year technological roadmaps

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years experience
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures and generative models
  • Proven track record of deploying scalable AI systems
  • Deep understanding of quantum-AI hybrid systems
  • Experience with neuromorphic computing frameworks
  • Strong background in AI ethics and governance frameworks
  • Ability to communicate complex concepts to diverse stakeholders

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neuromorphic Systems Generative AI Ethics Research Strategic Planning

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