Job Description
Are you ready to define the future of artificial intelligence? Zai Global Tech is seeking a visionary Senior AI Strategy Architect to lead our Project 2026 initiative. In this high-impact role, you will bridge the gap between cutting-edge technology and long-term business strategy, ensuring we remain the market leader in AI-driven solutions.
We are looking for a thought leader who can navigate the complexities of the 2026 technological landscape, from Generative AI advancements to ethical AI implementation. You will work closely with C-suite executives and cross-functional teams to architect scalable systems that drive innovation and efficiency.
Why join us? We offer a competitive salary, equity package, and the opportunity to shape the future of tech. If you are passionate about building the infrastructure of tomorrow, apply today.
Responsibilities
- Define and execute the Project 2026 strategic roadmap, aligning AI initiatives with business goals.
- Architect scalable, secure, and ethical AI infrastructure for enterprise-level applications.
- Lead a team of senior engineers and data scientists, fostering a culture of innovation and continuous improvement.
- Identify emerging AI trends and technologies (e.g., LLMs, Computer Vision) to maintain a competitive edge.
- Collaborate with product managers to translate complex technical concepts into user-centric solutions.
- Ensure compliance with global data privacy regulations and ethical AI standards.
- Present technical strategies and progress to key stakeholders and investors.
Qualifications
- 10+ years of experience in software engineering, data science, or AI architecture.
- Proven track record of leading technical teams and managing large-scale projects.
- Expert knowledge of Python, TensorFlow, PyTorch, or similar ML frameworks.
- Strong understanding of Machine Learning pipelines, NLP, and Deep Learning architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and microservices architecture.
- Excellent communication skills, with the ability to articulate complex technical ideas to non-technical audiences.
- Master’s degree in Computer Science, Engineering, or a related technical field is preferred.