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Head of Future AI Strategy (2026 Horizon)

QuantumLeap Technologies
San Francisco, California
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? QuantumLeap Technologies is seeking a visionary Head of Future AI Strategy to lead our charge into the next era of artificial intelligence.

In this pivotal role, you will not just implement existing solutions; you will architect the future. We are looking for a leader who can bridge the gap between cutting-edge research and practical, scalable deployment. Join us in shaping the AI-native world of 2026.

Why Join Us?

  • Work on high-impact projects that define the industry.
  • Competitive salary and equity package.
  • Flexible remote-first culture.

Key Objectives:

  • Define the 2026 AI roadmap and technical vision.
  • Oversee the development of next-gen Generative AI models.
  • Drive innovation in autonomous systems and predictive analytics.

Responsibilities

  • Strategic Vision: Develop and communicate a comprehensive 3-year AI strategy aligned with business goals, specifically targeting 2026 market readiness.
  • Research & Innovation: Lead R&D initiatives in Large Language Models (LLMs), computer vision, and reinforcement learning.
  • Team Leadership: Build, mentor, and scale a world-class team of AI researchers and engineers.
  • Cross-Functional Collaboration: Partner with product, engineering, and executive leadership to integrate AI solutions into core business workflows.
  • Compliance & Ethics: Ensure all AI implementations adhere to ethical guidelines, safety standards, and regulatory compliance.
  • Vendor Management: Evaluate and manage partnerships with key AI hardware and software providers.

Qualifications

  • Experience: 10+ years in software engineering, with at least 5 years in a senior leadership role within AI or Machine Learning.
  • Technical Expertise: Deep understanding of machine learning algorithms, neural networks, and data architecture.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Leadership: Proven track record of leading high-performing teams and delivering complex projects on time.
  • Future-Forward Thinking: Exceptional ability to anticipate industry trends and prepare the organization for the technological shifts of 2026.
  • Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Strategy Leadership Python TensorFlow PyTorch NLP Generative AI Data Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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