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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist - 2026 Visionary

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Futurist to architect intelligent systems that will redefine industries. In this pivotal role, you'll leverage cutting-edge machine learning and predictive analytics to shape our product roadmap. You'll collaborate with cross-disciplinary teams to develop adaptive AI frameworks while staying ahead of emerging tech trends. This is your opportunity to build the intelligent infrastructure that powers tomorrow's innovations.

Responsibilities

  • Design and implement advanced AI roadmaps targeting 2026 technological milestones
  • Lead predictive modeling initiatives for autonomous systems and human-AI collaboration
  • Architect scalable neural networks for real-time data processing and decision-making
  • Conduct horizon scanning to identify breakthrough technologies in quantum computing and biocomputing
  • Translate complex AI concepts into actionable product development strategies
  • Mentor junior engineers in ethical AI development and responsible innovation practices
  • Present visionary frameworks to C-suite executives and key stakeholders

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of applied research
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and MLOps
  • Published work in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
  • Experience with generative adversarial networks and transformer architectures
  • Demonstrated ability to translate theoretical AI concepts into commercial applications
  • Strong background in human-computer interaction and cognitive science
  • Proficiency in Python, R, and cloud platforms (AWS/GCP/Azure)

Required Skills

Artificial Intelligence Machine Learning Predictive Analytics Neural Networks Quantum Computing MLOps Deep Learning Ethical AI Generative AI Product Strategy

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