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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Innovation Lead

Quantum Leap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Quantum Leap Technologies as our 2026 AI Innovation Lead to architect the future of artificial intelligence. We're seeking a visionary strategist to drive breakthrough initiatives at the intersection of quantum computing, neural networks, and human-centric design. This pivotal role will shape our product roadmap while pioneering ethical AI frameworks for the post-2025 landscape.

You'll lead a cross-disciplinary team of researchers, engineers, and ethicists to develop next-generation AI solutions that redefine industry standards. The ideal candidate thrives at the nexus of technical depth and strategic foresight, transforming theoretical possibilities into market-defining innovations.

Responsibilities

  • Architect and execute the 2026 AI innovation roadmap, aligning with long-term business objectives
  • Lead cross-functional teams in developing quantum-enhanced machine learning models
  • Establish ethical AI governance frameworks for autonomous systems
  • Partner with C-suite executives to secure R&D funding and stakeholder alignment
  • Drive industry thought leadership through white papers and conference keynotes
  • Identify emerging AI trends and competitive threats through market intelligence
  • Champion human-centered design principles in AI development workflows

Qualifications

  • PhD in Computer Science, AI, or related field with 10+ years of experience
  • Proven track record of shipping production AI systems at scale
  • Expertise in quantum computing architectures and neural network optimization
  • Deep understanding of regulatory landscapes (NIST AI RMF, EU AI Act)
  • Experience leading $10M+ R&D initiatives in tech or automotive sectors
  • Strong background in AI ethics and responsible development frameworks
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Neural Networks AI Ethics Strategic Planning R&D Leadership Regulatory Compliance Machine Learning Future Forecasting

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