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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Innovation Lead

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution as our 2026 AI Innovation Lead. We're pioneering the next wave of artificial intelligence that will redefine industries by 2026. This role requires a visionary leader to architect cutting-edge AI solutions while mentoring a high-performing team. You'll collaborate with global R&D labs to transform theoretical AI concepts into scalable commercial applications. Our culture thrives on bold innovation, ethical AI development, and sustainable technological disruption. If you're ready to shape the future of intelligent systems, this is your moment.

Responsibilities

  • Lead end-to-end development of AI/ML systems targeting 2026 market readiness
  • Architect ethical AI frameworks ensuring compliance with evolving global regulations
  • Drive cross-functional collaboration between engineering, product, and research teams
  • Translate complex AI innovations into actionable business strategies
  • Mentor AI specialists in emerging technologies like quantum-computing hybrids
  • Establish KPIs for AI model performance and business impact metrics
  • Pioneer responsible AI deployment protocols for real-world applications

Qualifications

  • 10+ years in AI/ML development with 5+ years in leadership roles
  • Proven track record deploying production AI systems generating $10M+ revenue
  • Expertise in transformer architectures, generative AI, and reinforcement learning
  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Deep understanding of AI ethics frameworks and regulatory landscapes
  • Experience scaling AI teams in fast-paced tech environments
  • Strong background in MLOps and cloud-native AI infrastructure

Required Skills

AI/ML Machine Learning Deep Learning NLP Computer Vision Ethical AI Quantum Computing MLOps Leadership Research Strategy

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