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AI Futurist Strategist

InnovateAI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join InnovateAI Solutions at the forefront of technological evolution as we shape the AI landscape of 2026. We seek a visionary AI Futurist Strategist to architect our next-generation roadmap and pioneer breakthrough innovations. This role demands a blend of technical expertise, strategic foresight, and executive leadership to transform emerging AI capabilities into market-defining solutions. Work in our state-of-the-art R&D hub where your insights will directly influence the future of human-AI collaboration.

Responsibilities

  • Design and execute AI transformation strategies aligned with 2026 technological forecasts and market demands
  • Lead cross-functional teams in developing next-gen AI systems including generative AI and autonomous agents
  • Conduct horizon scanning of emerging AI trends (neuromorphic computing, quantum AI, ethical frameworks)
  • Architect scalable AI infrastructure for real-time decision-making at enterprise scale
  • Present strategic roadmaps to C-suite executives and board members with clear ROI projections
  • Partner with academic institutions and industry consortia to shape AI standards and best practices
  • Drive innovation sprints focused on solving 2026-era challenges in climate, healthcare, and logistics

Qualifications

  • PhD or Master's in Computer Science/AI with 10+ years in applied AI research or development
  • Proven track record in deploying production AI systems with measurable business impact
  • Deep expertise in transformer architectures, reinforcement learning, and multimodal AI
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design) and regulatory compliance
  • Experience presenting complex technical concepts to C-level executives and investors
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR) or equivalent industry impact
  • Proficiency in MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS SageMaker, GCP Vertex)

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Generative AI Reinforcement Learning AI Ethics MLOps Cloud Architecture Data Science Research & Development

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