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Senior AI Architect (2026 Vision)

Zai Nexus
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our groundbreaking initiatives targeting the 2026 technological landscape. At Zai Nexus, we are building the infrastructure for the future, focusing on advanced Generative AI, Large Language Models (LLMs), and scalable autonomous systems. If you are passionate about shaping the next decade of technology and have a knack for turning complex algorithms into real-world impact, we want to meet you.

Why Join Us?

  • Future-Forward Impact: Work on projects that define the tech roadmap for 2026 and beyond.
  • Top-Tier Compensation: Competitive salary and equity packages.
  • Innovative Culture: Collaborate with the brightest minds in AI and Software Engineering.

Responsibilities

  • Design and architect scalable machine learning pipelines and infrastructure capable of handling enterprise-grade data volumes.
  • Lead the research and implementation of state-of-the-art Generative AI models, specifically targeting 2026 LLM capabilities.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Optimize model performance, latency, and cost-efficiency in cloud environments (AWS/GCP).
  • Collaborate with cross-functional product teams to translate business requirements into technical AI solutions.
  • Stay ahead of industry trends to ensure our architecture remains future-proof.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead role.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, LLM fine-tuning, and RAG architectures.
  • Experience with MLOps tools, containerization (Docker/Kubernetes), and cloud platforms.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLM MLOps Docker Kubernetes AWS GCP Deep Learning

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