Job Description
Are you ready to architect the future of Artificial Intelligence?
Zai Corp is seeking a visionary Senior AI Strategy Lead to define the roadmap for the 2026 technological landscape. In this pivotal role, you will bridge the gap between cutting-edge research and scalable enterprise deployment, ensuring our AI infrastructure is ready to dominate the next era of digital transformation.
As a key thought leader within the organization, you will guide the development of autonomous agents and generative models that will define the industry standard for 2026. We are looking for a strategic mind who isn't just building technology, but is defining the future of how humans interact with machines.
Why Join Zai Corp?
- Work on high-impact projects that will shape the 2026 global tech landscape.
- Competitive compensation package with equity options.
- Access to state-of-the-art hardware and cloud infrastructure.
- Collaborate with a world-class team of engineers, ethicists, and futurists.
Responsibilities
- Define the 2026 AI Roadmap: Lead the strategic vision for our AI capabilities, identifying emerging trends in LLMs, computer vision, and predictive analytics that will define the industry in 2026.
- Architect Scalable Infrastructure: Design and oversee the deployment of robust AI infrastructure capable of handling petabyte-scale data processing with zero-latency response times.
- Lead Cross-Functional Teams: Mentor and manage a diverse team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Ethical AI Governance: Establish frameworks for responsible AI development, ensuring compliance with global regulations and mitigating algorithmic bias.
- Partner with C-Suite: Translate complex technical concepts into actionable business strategies for executive stakeholders to drive investment and growth.
- Pilot New Technologies: Spearhead Proof-of-Concept (PoC) initiatives for next-generation AI technologies, including quantum computing integration and neural interfaces.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in AI/ML engineering, with at least 2 years in a senior leadership or strategy role.
- Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
- Strategic Vision: Proven track record of anticipating industry shifts and successfully implementing long-term technical roadmaps.
- Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.
- Achievement Orientation: Demonstrated ability to deliver high-impact projects under tight deadlines in a fast-paced startup environment.