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AI Strategy Architect | Shaping the Future for 2026

Zai Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Zai Future Systems is seeking a visionary AI Strategy Architect to lead the integration of next-generation Artificial Intelligence into our core product ecosystem. In this pivotal role, you will bridge the gap between cutting-edge machine learning research and high-level business strategy, ensuring our solutions remain at the forefront of the industry.

Why Join Us?

  • Future-Forward Impact: Work on projects that directly influence the roadmap for the year 2026.
  • Top-Tier Talent: Collaborate with industry leaders in Generative AI and Large Language Models.
  • Competitive Compensation: Comprehensive benefits package including equity and health coverage.

Responsibilities

  • Strategic Vision: Develop and communicate a comprehensive AI strategy that aligns with the company's long-term goals for the 2026 era.
  • Technical Leadership: Evaluate emerging AI technologies (e.g., Transformer models, Agentic AI) and define the technical roadmap for adoption.
  • Stakeholder Management: Translate complex technical concepts into actionable business insights for executive leadership and product teams.
  • Project Governance: Oversee the end-to-end lifecycle of AI initiatives, ensuring timely delivery and adherence to budget constraints.
  • Ethical AI Compliance: Establish frameworks for responsible AI usage, ensuring bias mitigation and data privacy standards are met.
  • R&D Collaboration: Partner with research labs to prototype and validate breakthrough technologies before commercialization.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: Minimum of 5-7 years of experience in AI/ML engineering, product management, or technical strategy.
  • Technical Proficiency: Deep understanding of Deep Learning architectures, NLP, and MLOps practices.
  • Strategic Mindset: Proven track record of defining product strategies that drive business growth and innovation.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.
  • Certifications: Professional certification in AI ethics or strategic management is a plus.

Required Skills

Artificial Intelligence Machine Learning Strategy Python Deep Learning NLP Product Strategy Leadership Agentic AI

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