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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy & Innovation Lead

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution. We're seeking a visionary AI Strategy & Innovation Lead to architect transformative solutions that will define the 2026 digital landscape. This role combines cutting-edge AI development with strategic business acumen to drive next-generation innovations.

As part of our elite R&D division, you'll leverage our proprietary quantum-AI hybrid platforms to solve complex challenges across healthcare, climate modeling, and autonomous systems. Our culture thrives on intellectual curiosity, rapid prototyping, and ethical innovation.

Responsibilities

  • Design and execute AI roadmaps aligned with 2026 technology forecasts and market demands
  • Lead cross-functional teams in developing generative AI models for enterprise applications
  • Conduct market analysis to identify emerging AI opportunities and competitive threats
  • Collaborate with C-suite executives to integrate AI strategy into business growth initiatives
  • Ensure all innovations adhere to evolving AI ethics regulations and security protocols
  • Mentor senior engineers in advanced machine learning techniques and innovation methodologies
  • Present breakthrough findings at industry conferences and publish in top-tier journals

Qualifications

  • PhD in Computer Science, AI, or related field with 8+ years industry experience
  • Proven track record of shipping production AI systems at scale (GPT-4 level or equivalent)
  • Deep expertise in transformer architectures, reinforcement learning, and quantum computing principles
  • Strong background in AI ethics frameworks and regulatory compliance (GDPR, CCPA, EU AI Act)
  • Experience leading technical teams through agile innovation cycles
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Proficiency in MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP/Azure)

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Strategic Planning Generative AI Ethics & Compliance MLOps Leadership

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