Job Description
Are you ready to build the systems of tomorrow?
ZAI Future Systems is pioneering the 2026 technology roadmap, pushing the boundaries of Generative AI, Autonomous Agents, and Quantum-Ready Neural Networks. We are looking for a visionary Senior AI Architect to lead our engineering efforts and shape the future of intelligent systems.
In this role, you won't just write code; you will define the architectural standards for the next generation of artificial intelligence. You will work closely with our research team to bridge the gap between theoretical models and production-grade scalability.
Why Join Us?
- Work on high-impact projects that redefine industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
- Focus on ethical AI and responsible innovation.
If you are a technical leader passionate about the intersection of AI and human potential, we want to hear from you.
Responsibilities
- Lead Architecture: Design and implement scalable, fault-tolerant AI infrastructure capable of processing petabyte-scale datasets.
- R&D Leadership: Spearhead research into next-gen Large Language Models (LLMs) and multimodal AI agents for the 2026 release cycle.
- Model Optimization: Engineer efficient inference pipelines and optimize model latency for edge devices and cloud environments.
- Team Mentorship: Guide a team of top-tier ML engineers and data scientists, conducting code reviews and architectural discussions.
- Strategic Planning: Translate business goals into technical roadmaps, identifying key technologies and tools required for future growth.
- Ethical AI: Establish guidelines and best practices for AI safety, fairness, and transparency.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering and 5+ years in Machine Learning/AI architecture.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX; proven experience with distributed computing systems (Kubernetes, Ray, or similar).
- Domain Knowledge: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle complex technical challenges and deliver robust solutions under tight deadlines.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.