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Advanced AI Strategist 2026

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer the next generation of AI solutions for 2026. We're seeking a visionary Advanced AI Strategist to architect transformative AI frameworks that will redefine industries. In this pivotal role, you'll collaborate with world-class researchers to develop cutting-edge algorithms, lead cross-functional teams in deploying scalable AI systems, and shape our AI roadmap for the coming decade.

Why QuantumLeap? We're a NASA-backed deep-tech startup revolutionizing space exploration through autonomous AI systems. Our culture values audacious innovation, collaborative excellence, and sustainable impact. You'll work in our state-of-the-art facility with bleeding-edge hardware and collaborate with Nobel laureates and Turing Award winners.

Responsibilities

  • Design and implement ethical AI frameworks for autonomous systems in space exploration
  • Lead cross-functional teams in deploying scalable ML pipelines processing petabytes of real-time data
  • Develop quantum-resistant algorithms for next-gen cybersecurity systems
  • Architect federated learning networks across global satellite infrastructure
  • Drive innovation in explainable AI for high-stakes decision-making systems
  • Partner with government agencies on national AI security initiatives
  • Mentor AI engineers in advanced neural network optimization techniques

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years in advanced AI development
  • Proven expertise in quantum computing and post-quantum cryptography
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Experience deploying production-grade AI systems in aerospace/defense
  • Mastery of PyTorch, TensorFlow, and distributed computing frameworks
  • Deep understanding of ethical AI governance frameworks
  • Strong background in reinforcement learning for autonomous systems
  • Security clearance or ability to obtain Secret clearance preferred

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Cybersecurity Autonomous Systems Neural Networks Ethical AI Federated Learning PyTorch TensorFlow Reinforcement Learning

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