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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 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 Innovation Strategist to architect the next generation of intelligent systems that will redefine industries. This role blends visionary thinking with hands-on technical leadership in a dynamic, future-focused environment where your ideas will directly shape humanity's digital horizon.

Responsibilities

  • Develop AI roadmaps aligning with 2026 technological forecasts and market disruption trends
  • Lead cross-functional teams in prototyping AI solutions for autonomous systems, quantum computing integration, and neural interfaces
  • Conduct horizon scanning to identify emerging technologies with 3-5 year commercialization potential
  • Design ethical frameworks for next-generation AI deployment in regulated industries
  • Collaborate with quantum computing specialists to hybridize classical and quantum AI models
  • Present strategic innovation portfolios to C-suite and venture capital partners
  • Build patent portfolios for novel AI methodologies and human-machine symbiosis systems

Qualifications

  • 10+ years in AI/ML with 5+ years in strategic innovation or futurist roles
  • Proven track record developing commercial AI products with $10M+ revenue impact
  • Deep expertise in transformer architectures, reinforcement learning, and generative adversarial networks
  • Familiarity with quantum computing principles and hybrid AI-quantum workflows
  • Certifications in AI ethics (e.g., IEEE Ethically Aligned Design) and foresight methodologies
  • Published research in top-tier AI journals or conference proceedings
  • Experience scaling AI teams from 5 to 50+ engineers
  • PhD in Computer Science, Cognitive Systems, or related field required

Required Skills

AI Strategy Quantum Computing Neural Interfaces Reinforcement Learning Ethical AI Technology Forecasting Generative AI Innovation Management

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