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Senior AI Architect | 2026 Vision

Nova AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to engineer the future of intelligence? Nova AI Systems is pioneering the 2026 Vision, a revolutionary framework for next-generation Generative AI. We are looking for a Senior AI Architect who isn't just building models, but is defining the architecture of tomorrow.

As a key member of our elite Research & Development team, you will be at the forefront of the AI revolution, tasked with solving complex problems that will shape the landscape of technology in 2026 and beyond. We offer a competitive compensation package, equity options, and the opportunity to work in a high-impact environment.

Responsibilities

  • Architect 2026-Ready Systems: Design scalable, fault-tolerant LLM architectures capable of handling petabyte-scale data.
  • Lead Research Initiatives: Spearhead the development of novel algorithms in reinforcement learning and multimodal AI.
  • Build MLOps Pipelines: Create and maintain robust CI/CD pipelines for model training, deployment, and monitoring.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ethical AI Governance: Ensure all deployed models adhere to strict ethical guidelines and bias mitigation standards.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering and deep learning.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Problem Solving: Proven track record of delivering complex AI solutions from concept to production.
  • Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Kubernetes MLOps Data Science

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