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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Lead 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological transformation as we pioneer solutions for 2026. We seek a visionary AI Innovation Lead to architect next-generation artificial intelligence systems that will redefine industries. This role combines strategic foresight with hands-on technical leadership to build scalable AI frameworks for autonomous systems, predictive analytics, and human-machine collaboration. You'll collaborate with cross-disciplinary teams to translate complex business challenges into cutting-edge AI implementations while maintaining ethical AI governance standards.

Responsibilities

  • Design and implement AI roadmaps for 2026, focusing on generative AI and autonomous systems
  • Lead a team of AI researchers and engineers to develop production-ready ML models
  • Partner with product teams to integrate AI solutions into enterprise platforms
  • Establish AI governance frameworks ensuring ethical deployment and regulatory compliance
  • Drive innovation through competitive analysis and emerging technology research
  • Present strategic AI initiatives to executive stakeholders and investors
  • Mentor junior AI talent while fostering a culture of continuous learning

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 8+ years experience
  • Proven track record deploying production AI systems at scale (NLP, computer vision, or reinforcement learning)
  • Expertise in MLOps frameworks (Kubeflow, MLflow) and cloud platforms (AWS/GCP/Azure)
  • Strong background in ethical AI development and bias mitigation strategies
  • Experience leading cross-functional teams through full AI lifecycle from research to deployment
  • Published research in top-tier AI/ML conferences or patents in AI domain
  • Ability to translate technical concepts into business strategy for executive audiences

Required Skills

Machine Learning Deep Learning MLOps Generative AI NLP Computer Vision AI Ethics Cloud Architecture Python TensorFlow PyTorch

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