Job Description
Are you ready to define the technology landscape of 2026?
At Zai Future Systems, we are not just predicting the next generation of AI; we are architecting it. We are seeking a visionary Lead AI Architect to spearhead our next-generation Agentic AI initiatives.
You will be at the forefront of integrating Large Language Models (LLMs) into autonomous agent frameworks, creating systems that can reason, plan, and execute complex tasks with unprecedented autonomy. If you are passionate about building the future and thrive in a high-impact environment, this is your opportunity to lead.
At Zai Future Systems, we are not just predicting the next generation of AI; we are architecting it. We are seeking a visionary Lead AI Architect to spearhead our next-generation Agentic AI initiatives.
You will be at the forefront of integrating Large Language Models (LLMs) into autonomous agent frameworks, creating systems that can reason, plan, and execute complex tasks with unprecedented autonomy. If you are passionate about building the future and thrive in a high-impact environment, this is your opportunity to lead.
Responsibilities
- Architect Vision: Design and lead the development of scalable, high-performance AI architectures aligned with the 2026 technological roadmap.
- Agentic Systems: Spearhead the research and implementation of cutting-edge Agentic workflows, LLM orchestration, and multi-agent simulations.
- Technical Leadership: Collaborate with cross-functional engineering and product teams to translate business requirements into robust AI technical solutions.
- MLOps & Deployment: Establish best practices for Model Lifecycle Management (MLOps), ensuring seamless CI/CD pipelines for AI model deployment.
- Mentorship: Mentor a team of talented AI engineers and data scientists, fostering a culture of continuous learning and innovation.
- Research Integration: Stay ahead of the curve on emerging AI paradigms, including Generative AI, Reinforcement Learning, and Edge AI.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 8+ years of software engineering experience, with at least 5 years in AI/ML architecture and leadership.
- Core Tech: Deep expertise in Python, PyTorch, TensorFlow, and modern LLM frameworks (Hugging Face, LangChain).
- System Design: Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS, GCP, or Azure).
- Agentic AI: Proven experience building or deploying autonomous agents and RAG (Retrieval-Augmented Generation) systems.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with innovative technical solutions.