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AI Futurist Engineer (2026 Vision)

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we architect solutions for 2026 and beyond. We seek a visionary AI Futurist Engineer to develop next-generation artificial intelligence systems that will redefine human-computer interaction. This role demands a blend of cutting-edge technical expertise and strategic foresight to build autonomous systems, predictive models, and ethical AI frameworks that will shape the next decade. Work in our state-of-the-art San Francisco lab with unparalleled resources and collaborate with Nobel laureates and industry pioneers.

Responsibilities

  • Design and implement AI architectures for 2026-era autonomous systems and predictive analytics
  • Lead research in quantum machine learning and neural-symbolic integration
  • Develop ethical AI frameworks ensuring alignment with future societal needs
  • Create cross-functional blueprints for human-AI collaboration in 2026 workplace scenarios
  • Prototype next-gen NLP systems with multimodal understanding capabilities
  • Strategize AI deployment roadmaps for 5-10 year technological horizons
  • Mentor junior engineers in emerging AI paradigms and future-proof coding practices

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years in applied AI research
  • Expertise in quantum computing, transformer architectures, and neuromorphic systems
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR) post-2020
  • Proven track record of deploying production-grade ML systems at scale
  • Deep understanding of AI ethics, bias mitigation, and future regulatory landscapes
  • Experience with federated learning and edge-AI deployment strategies
  • Strong background in cognitive science and human-computer interaction
  • Portfolio demonstrating 2026-focused AI prototypes or conceptual frameworks

Required Skills

Quantum Computing Neural-Symbolic AI Multimodal NLP Autonomous Systems AI Ethics Transformer Architectures Federated Learning Predictive Analytics

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