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Information Technology 🏒 Full Time ⭐️ Verified

AI Strategy Lead: 2026 Horizon

Zai Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are building the software that powers the world in 2026. Zai Future Systems is seeking a visionary AI Strategy Lead to architect the next generation of intelligent systems. You won't just be maintaining existing codebases; you will be defining the roadmap for our proprietary Generative AI and Predictive Modeling engines. If you are passionate about the future of technology and want to leave a lasting legacy in the tech landscape, this is your opportunity.

Why Join Us?
Work with a team of elite engineers and researchers. We offer competitive equity, a top-tier benefits package, and the freedom to experiment with bleeding-edge technologies.

Responsibilities

  • Architect and lead the development of scalable AI infrastructure designed for 2026 workloads.
  • Define the strategic vision for our proprietary Generative AI models and ensure alignment with business goals.
  • Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI solutions into core products.
  • Oversee the lifecycle of machine learning models from research to production deployment.
  • Establish best practices for ethical AI and responsible data usage.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.
  • Identify emerging technologies and trends to drive continuous improvement.

Qualifications

  • Master’s or PhD in Computer Science, AI, or a related field (or equivalent extensive experience).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Proven track record of deploying large-scale AI systems in production environments.
  • Strong understanding of LLMs, NLP, and Neural Networks.
  • Exceptional problem-solving skills and the ability to navigate ambiguity.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow NLP Generative AI System Architecture Cloud Computing Leadership

Ready to Take This Challenge?

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