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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI & Sustainability Strategist

Horizon Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the future of technology?

Horizon Future Labs is seeking a visionary Principal AI & Sustainability Strategist to lead our R&D initiatives aimed at the year 2026. In this pivotal role, you will bridge the gap between advanced generative AI and global climate goals, ensuring our solutions are not only cutting-edge but also responsible.

We are looking for a thought leader who thrives in ambiguity and has a passion for solving the world's most pressing challenges through code and strategy.

Responsibilities

  • Strategic Leadership: Define and execute the technical vision for AI-driven sustainability projects leading up to the 2026 market release.
  • R&D Oversight: Oversee the development and deployment of proprietary machine learning models focused on predictive energy optimization.
  • Stakeholder Management: Collaborate with cross-functional teams—including engineering, policy, and design—to define product roadmaps and deliverables.
  • Ethical AI Governance: Establish and enforce strict ethical guidelines and bias mitigation frameworks for all AI deployments.
  • Market Analysis: Conduct deep-dive analysis of emerging tech trends to position Horizon Future Labs as a market leader in 2026.
  • Global Representation: Represent the company at international tech summits and sustainability forums.

Qualifications

  • Experience: 10+ years of experience in AI, Machine Learning, or Data Science with a focus on strategic implementation.
  • Leadership: Proven track record in senior leadership roles within Fortune 500 tech companies or high-growth startups.
  • Technical Expertise: Deep understanding of sustainability metrics, green technology principles, and large language models (LLMs).
  • Tools: Proficiency in Python, TensorFlow, PyTorch, and cloud computing architectures (AWS/GCP).
  • Communication: Exceptional ability to translate complex technical concepts for diverse executive audiences.
  • Certifications: Master’s degree or PhD in Computer Science, Engineering, or Environmental Science is highly preferred.

Required Skills

Artificial Intelligence Machine Learning Sustainability Strategic Planning Python Cloud Computing R&D Ethics

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