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Principal AI Strategist (2026 Horizon)

Horizon AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

At Horizon AI Solutions, we aren't just preparing for the future; we are architecting it. As we look toward 2026, the boundaries of artificial intelligence are about to expand beyond imagination. We are seeking a visionary Principal AI Strategist to lead our mission-critical initiatives.

In this high-impact role, you will define the technical DNA of our next generation of products. You will be responsible for guiding our AI engineering teams through the complexities of scaling generative models, ensuring our solutions are not only cutting-edge but also ethically sound and commercially viable.

If you are a leader who thrives on ambiguity and is passionate about solving humanity's hardest problems with code, we want to hear from you.

Responsibilities

  • Architect the enterprise-wide AI roadmap for 2026 and beyond, aligning technical strategy with business objectives.
  • Oversee the development of proprietary Large Language Models (LLMs) and advanced generative AI frameworks.
  • Lead cross-functional teams of data scientists and engineers to deliver scalable, high-impact solutions.
  • Establish best practices for AI ethics, safety, and compliance in a rapidly evolving regulatory landscape.
  • Collaborate with C-suite executives to translate complex technical concepts into actionable business strategies.

Qualifications

  • 10+ years of experience in software engineering and artificial intelligence, with a proven track record in strategic leadership.
  • Deep expertise in deep learning architectures, specifically Transformers and GANs.
  • Strong background in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/GCP/Azure).
  • Proven history of shipping production-grade AI products that drive significant revenue growth.
  • Exceptional communication skills, capable of bridging the gap between technical teams and non-technical stakeholders.
  • M.S. or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.

Required Skills

Artificial Intelligence Machine Learning Natural Language Processing Python TensorFlow PyTorch Cloud Architecture Strategic Planning Leadership Generative AI

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