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Principal AI Strategist: Year 2026 Horizon

Omni-Dyne Systems
San Francisco
Estimated Salary
USD 190.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the Future of Intelligence

Omni-Dyne Systems is at the forefront of defining the technological landscape of the year 2026. We are seeking a visionary Principal AI Strategist: Year 2026 Horizon to lead our next-generation research division. In this high-impact role, you will bridge the gap between theoretical breakthroughs and practical application, ensuring we remain the global leader in autonomous systems.

As part of our elite strategy team, you will drive the roadmap for our upcoming AI iterations, influencing how machines interact with human consciousness in the coming decade.

Responsibilities

  • Define and execute the comprehensive Year 2026 AI Roadmap, prioritizing breakthroughs in generative models and neural interfaces.
  • Lead cross-functional research initiatives involving quantum computing and advanced machine learning algorithms.
  • Analyze global market trends to predict and adapt to shifts in the autonomous technology sector.
  • Collaborate with executive leadership to secure funding for high-risk, high-reward future projects.
  • Mentor senior engineers and data scientists, fostering a culture of innovation and forward-thinking.
  • Oversee the ethical frameworks governing our advanced AI deployments.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in AI strategy, product management, or technical leadership.
  • Proven track record of leading R&D teams in a fast-paced, high-growth environment.
  • Deep expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and predictive analytics.
  • Exceptional ability to communicate complex future concepts to stakeholders and investors.
  • Strong understanding of hardware-software convergence and edge computing trends.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning R&D Leadership NLP Quantum Computing

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