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Future AI Strategy Lead (2026 Horizon)

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are looking for a visionary Future AI Strategy Lead to define our roadmap for the 2026 technology horizon. In this pivotal role, you will bridge the gap between cutting-edge research and scalable product implementation, ensuring we are not just ready for 2026, but leading it.

At Quantum Leap Innovations, we believe that the next decade will be defined by Artificial General Intelligence (AGI) and autonomous systems. As the industry shifts towards hyper-personalization and ethical AI, we need a strategist who can anticipate market shifts and architect solutions that stand the test of time.

Why Join Us?

  • Work on the bleeding edge of technology.
  • Competitive equity package and 401k matching.
  • Flexible remote-first policy with quarterly in-person summits in SF.

Responsibilities

  • Define and execute the 2026 AI Vision, identifying emerging trends in Generative AI and predictive analytics.
  • Lead cross-functional teams in R&D to prototype solutions for the next generation of autonomous agents.
  • Establish ethical guidelines and safety protocols for large-scale AI deployments.
  • Collaborate with C-suite executives to align technical roadmaps with business growth objectives.
  • Mentor a team of senior engineers and data scientists, fostering a culture of innovation.

Qualifications

  • 10+ years of experience in Artificial Intelligence, Machine Learning, or Data Science.
  • Proven track record of leading strategic initiatives in a fast-paced tech environment.
  • Deep understanding of Transformer models, NLP, and Reinforcement Learning.
  • Strong background in cloud architecture (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Generative AI Predictive Modeling Machine Learning Python Strategic Planning Cloud Architecture Ethics in AI R&D Leadership

Ready to Take This Challenge?

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