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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Futurist Strategist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution! We're seeking a visionary 2026 AI Futurist Strategist to architect the next generation of intelligent systems. This role demands a blend of cutting-edge AI expertise and strategic foresight to shape our product roadmap for the mid-2020s. You'll collaborate with C-suite executives to translate emerging trends into actionable business strategies while leading a cross-functional team of engineers and data scientists.

Our ideal candidate thrives at the intersection of machine learning, quantum computing, and human-computer interaction. You'll drive innovation in generative AI, autonomous systems, and ethical AI frameworks while ensuring our solutions align with evolving regulatory landscapes. This is your chance to build the future today.

Responsibilities

  • Architect 2026-era AI product roadmaps integrating quantum computing and neural-symbolic fusion
  • Lead cross-functional teams in developing prototype systems for next-gen human-AI collaboration
  • Analyze emerging tech trends (AGI, neuromorphic computing, bio-AI interfaces) for competitive advantage
  • Develop ethical AI governance frameworks compliant with 2026 regulatory standards
  • Present strategic recommendations to C-suite and board stakeholders
  • Mentor junior researchers on AI safety and alignment methodologies
  • Collaborate with R&D on deploying scalable generative AI solutions

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, quantum machine learning, and neuromorphic computing
  • Proven track record of leading AI product strategy from concept to launch
  • Deep understanding of global AI regulatory landscapes (EU AI Act, US AI Bill of Rights)
  • Experience with MLOps pipelines for large-scale distributed AI systems
  • Strong background in AI ethics, bias mitigation, and alignment techniques

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Strategic Planning Product Architecture Ethics Neural Networks Generative AI AI Governance

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