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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

Nexus Future Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're seeking an AI Innovation Strategist to architect the future of intelligent systems for 2026 and beyond. Shape breakthrough solutions that redefine industries while working alongside Nobel laureates and Turing Award winners in our state-of-the-art Austin R&D campus.

As a pioneer in quantum-AI convergence, you'll lead cross-disciplinary teams to develop next-generation autonomous systems, ethical AI frameworks, and human-machine symbiosis technologies. This role offers unparalleled impact on the technological landscape of tomorrow.

Responsibilities

  • Architect AI roadmaps for 2026+ market disruption in healthcare, climate, and autonomous systems
  • Lead development of ethical AI governance frameworks for global deployment
  • Drive quantum-AI hybrid system integration for exponential computational breakthroughs
  • Establish industry partnerships with NASA, DARPA, and Fortune 100 innovation labs
  • Mentor PhD researchers in human-AI co-evolution methodologies
  • Secure $50M+ in federal innovation grants for frontier AI projects
  • Present at Davos, CES, and World Economic Forum as thought leader

Qualifications

  • PhD in AI/ML or equivalent with 10+ years in transformative tech development
  • Published research in Nature/Science on quantum computing or neural-symbolic systems
  • Proven track record scaling AI initiatives to $100M+ revenue impact
  • Expertise in federated learning and differential privacy frameworks
  • Security clearance or experience with classified R&D programs
  • Fluency in Python, TensorFlow, and quantum programming languages
  • Portfolio of deployed AI systems affecting >10M users

Required Skills

AI Strategy Quantum Computing Neural-Symbolic AI Federated Learning Ethical AI Governance Autonomous Systems Human-Machine Interaction R&D Leadership

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