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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we shape 2026's digital landscape. We're seeking a visionary AI Futurist to architect tomorrow's intelligent systems today. This role blends cutting-edge machine learning with strategic foresight to develop scalable AI solutions that redefine industry standards. You'll lead cross-functional teams in prototyping autonomous systems, ethical AI frameworks, and predictive analytics platforms while collaborating with Fortune 500 partners on next-gen deployments. Our dynamic startup environment offers unparalleled growth opportunities in a culture obsessed with innovation.

Responsibilities

  • Design and implement AI roadmaps for 2026-2027 technological ecosystems
  • Lead development of ethical AI governance frameworks for autonomous decision systems
  • Architect scalable machine learning pipelines processing petabyte-scale datasets
  • Present strategic AI insights to C-suite executives and board members
  • Mentor junior engineers in advanced neural network optimization techniques
  • Identify emerging tech trends through competitive analysis and patent research

Qualifications

  • PhD in Computer Science or equivalent with 5+ years AI/ML specialization
  • Proven expertise in transformer architectures and reinforcement learning
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Experience leading cross-continental AI development teams
  • Deep understanding of quantum computing's impact on AI scalability
  • Fluency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong background in AI ethics and responsible development practices

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Neural Networks Data Architecture Ethics Quantum Computing TensorFlow Python Reinforcement Learning

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