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AI Innovation Strategist 2026

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer the next wave of AI-driven solutions for 2026. We seek a visionary AI Innovation Strategist to architect transformative frameworks that will shape the future of human-machine collaboration. This role combines deep technical expertise with strategic foresight to develop roadmaps for ethical, scalable AI systems that will redefine industry standards.

In our dynamic, cross-functional environment, you'll collaborate with world-class researchers to prototype next-gen neural networks, quantum computing interfaces, and autonomous decision-making systems. You'll lead initiatives at the intersection of machine learning, biotechnology, and sustainable tech, ensuring our innovations align with global sustainability goals while delivering measurable business impact.

Responsibilities

  • Architect AI innovation roadmaps targeting 2026 market needs and technological inflection points
  • Lead cross-functional teams in developing prototype systems for quantum-ML integration and ethical AI governance
  • Research and evaluate emerging technologies including neuromorphic computing and generative AI frameworks
  • Design scalable architectures for autonomous systems with human-centric safety protocols
  • Collaborate with product teams to translate AI capabilities into market-ready solutions
  • Develop patentable methodologies for bias mitigation in large-scale neural networks
  • Present strategic vision to C-suite executives and industry consortiums

Qualifications

  • PhD or equivalent in Computer Science, AI, or related field with 7+ years industry experience
  • Proven track record in developing production-level AI systems at scale (TensorFlow/PyTorch)
  • Deep expertise in quantum computing algorithms and hybrid quantum-classical architectures
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Strong background in ethical AI frameworks and regulatory compliance (GDPR, EU AI Act)
  • Experience with biotech-AI convergence projects or neuromorphic computing
  • Demonstrated ability to translate technical concepts into strategic business initiatives
  • Excellent communication skills for stakeholder management across technical and non-technical domains

Required Skills

AI Strategy Machine Learning Quantum Computing Neural Networks Ethics in AI Research & Development Product Architecture Future Tech Forecasting

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