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Chief AI Officer (2026 Vision)

Apex Horizon Solutions
San Francisco
Estimated Salary
USD 250.000 – USD 450.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary leader to define the technological destiny of our organization for the year 2026 and beyond. As the landscape of Artificial Intelligence continues to accelerate, we need a Chief AI Officer who can bridge the gap between complex technical capabilities and high-level strategic growth. In this pivotal role, you will be the architect of our future, steering our AI initiatives to redefine industry standards and drive sustainable innovation.

At Apex Horizon Solutions, we don't just predict the future; we build it. We are looking for a trailblazer who is not only proficient in the nuances of machine learning and generative AI but also possesses the foresight to integrate these technologies into a cohesive 2026 roadmap. You will lead a world-class team of engineers, data scientists, and strategists, ensuring that our technological output remains at the cutting edge of the industry.

If you are passionate about the transformative power of AI and ready to lead a team in shaping the next decade of technology, we want to hear from you.

Responsibilities

  • Strategic Roadmapping: Develop and execute a comprehensive AI strategy aligned with the company's vision for 2026 and beyond.
  • Leadership & Mentorship: Build, mentor, and lead a high-performing team of AI researchers, data scientists, and engineers.
  • Technical Innovation: Identify emerging technologies and AI trends to drive product innovation and operational efficiency.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and secure buy-in for major initiatives.
  • Compliance & Ethics: Ensure all AI implementations adhere to ethical guidelines, data privacy regulations, and industry standards.
  • Partnerships: Forge strategic partnerships with academic institutions and technology leaders to foster continuous learning and growth.

Qualifications

  • Executive Experience: Minimum of 10+ years in a senior leadership role within Artificial Intelligence, Machine Learning, or Data Science.
  • Strategic Vision: Demonstrated ability to translate complex technical roadmaps into actionable business strategies.
  • Technical Proficiency: Deep understanding of deep learning, NLP, computer vision, and cloud-based AI architectures.
  • Communication: Exceptional verbal and written communication skills, capable of presenting to C-suite executives and boards.
  • Problem Solving: Proven track record of solving complex, large-scale technical challenges.
  • Education: Master’s degree or PhD in Computer Science, Data Science, or a related technical field is preferred.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Strategic Leadership Data Science Cloud Architecture NLP Python TensorFlow Executive Management Strategic Planning

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