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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Strategist

Horizon 2026 Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Be the Architect of Tomorrow

We are Horizon 2026 Dynamics, a pioneer in defining the technological landscape for the upcoming decade. As we accelerate toward a future driven by autonomous systems and advanced intelligence, we are seeking a visionary Senior AI & Future Tech Strategist to lead our research and implementation efforts. In this pivotal role, you won't just be using existing tools; you will be shaping the protocols and strategies that will define the industry standard by 2026.

Why Join Us?

  • Work on cutting-edge projects that bridge the gap between current capabilities and future necessities.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with access to world-class amenities in San Francisco.
  • Continuous learning budget dedicated to emerging technologies.

Key Responsibilities

  • Develop and execute a comprehensive AI roadmap designed to position Horizon 2026 as a market leader by 2026.
  • Collaborate with cross-functional teams to integrate predictive analytics and machine learning models into core business operations.
  • Identify emerging technology trends (e.g., Generative AI, Quantum Readiness) and assess their potential impact on our infrastructure.
  • Lead technical workshops and mentorship sessions for junior data scientists and engineers.
  • Oversee the ethical implications of AI deployment, ensuring compliance with evolving global regulations.
  • Drive the migration strategy for legacy systems to modern, scalable cloud-native architectures.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD preferred.
  • Minimum of 8 years of experience in AI strategy, Data Science, or Technical Project Management.
  • Proven track record of leading successful AI implementation projects from concept to production.
  • Deep expertise in Python, TensorFlow, PyTorch, or equivalent frameworks.
  • Strong understanding of Large Language Models (LLMs) and their application in enterprise solutions.
  • Exceptional leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience in navigating the regulatory landscape of AI ethics and data privacy.

Skills

Artificial Intelligence, Machine Learning, Python, Strategy, Leadership, Data Science, Agile, Cloud Computing, Predictive Analytics

Responsibilities

  • Develop and execute a comprehensive AI roadmap designed to position Horizon 2026 as a market leader by 2026.
  • Collaborate with cross-functional teams to integrate predictive analytics and machine learning models into core business operations.
  • Identify emerging technology trends (e.g., Generative AI, Quantum Readiness) and assess their potential impact on our infrastructure.
  • Lead technical workshops and mentorship sessions for junior data scientists and engineers.
  • Oversee the ethical implications of AI deployment, ensuring compliance with evolving global regulations.
  • Drive the migration strategy for legacy systems to modern, scalable cloud-native architectures.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD preferred.
  • Minimum of 8 years of experience in AI strategy, Data Science, or Technical Project Management.
  • Proven track record of leading successful AI implementation projects from concept to production.
  • Deep expertise in Python, TensorFlow, PyTorch, or equivalent frameworks.
  • Strong understanding of Large Language Models (LLMs) and their application in enterprise solutions.
  • Exceptional leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience in navigating the regulatory landscape of AI ethics and data privacy.

Required Skills

Artificial Intelligence Machine Learning Python Strategy Leadership Data Science Agile Cloud Computing Predictive Analytics

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