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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Horizon Dynamics at the forefront of technological evolution as we shape the future landscape of 2026. We seek an innovative AI Futurist Strategist to architect next-generation solutions that redefine human-machine interaction. This pivotal role demands visionary thinking to bridge emerging technologies with market readiness, ensuring our leadership in the rapidly evolving AI ecosystem. You'll collaborate with quantum computing researchers, neuro-linguistic specialists, and ethics committees to develop frameworks for responsible AI deployment by 2026.

Responsibilities

  • Design AI roadmaps for 2026 market readiness across healthcare, logistics, and autonomous systems
  • Lead cross-disciplinary teams to prototype neural-symbolic integration architectures
  • Develop predictive models for AI societal impact and regulatory compliance
  • Establish ethical governance protocols for generative AI deployment
  • Partner with quantum computing teams to optimize algorithmic efficiency
  • Produce whitepapers on AI-human symbiosis for industry summits
  • Monitor geopolitical tech trends affecting AI adoption timelines

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field with 5+ years AI strategy experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in federated learning, explainable AI, and adversarial robustness
  • Proficiency with Python, TensorFlow/PyTorch, and MLOps frameworks
  • Deep understanding of AI ethics frameworks (EU AI Act, NIST RMF)
  • Experience with quantum algorithm design and hybrid AI systems
  • Track record of translating technical concepts to executive strategy

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Strategic Planning Neural Networks Ethics Predictive Modeling Federated Learning MLOps Python TensorFlow

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