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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs as our pioneering AI Futurist Lead and architect the technological landscape of 2026. We're seeking a visionary strategist to bridge cutting-edge AI research with market-ready solutions. In this high-impact role, you'll define our AI roadmap for the next generation of autonomous systems, predictive analytics, and human-AI collaboration paradigms. Work alongside Nobel laureates and Silicon Valley disruptors to transform theoretical innovations into industry-defining products.

Why Nexus? Our lab operates at the intersection of quantum computing, neuromorphic engineering, and ethical AI development. We offer equity grants, flexible hybrid work, and a $10k annual innovation budget for personal R&D projects.

Responsibilities

  • Architect 2026-focused AI product roadmaps integrating federated learning and quantum-enhanced algorithms
  • Lead cross-functional teams in developing predictive AI systems for autonomous decision-making
  • Establish ethical frameworks for AI deployment in regulated industries (healthcare, finance)
  • Partner with government agencies on AI policy for post-2025 regulatory landscapes
  • Drive innovation sprints with 6-month horizon planning for next-gen AI capabilities
  • Present quarterly future-tech briefings to C-suite and external stakeholders

Qualifications

  • PhD or equivalent in Computer Science/AI with 7+ years of applied ML research
  • Published work on transformer architectures or generative adversarial networks
  • Experience deploying AI solutions in regulated environments (GDPR/CCPA compliance)
  • Proven track record in leading AI product development from concept to market
  • Deep understanding of quantum computing principles and their AI applications
  • Expertise in human-centered AI design and ethical algorithm development
  • Ability to translate complex technical concepts for non-technical executives

Required Skills

AI Research Machine Learning Quantum Computing Ethical AI Product Strategy Predictive Analytics Federated Learning Neuromorphic Engineering

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