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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Zenith Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are on a mission to pioneer the technological landscape of 2026. As a Senior AI Architect (2026 Vision) at Zenith Future Systems, you will be at the forefront of the Generative AI revolution. We are looking for a visionary leader to design and deploy scalable, next-generation machine learning systems that will redefine how users interact with technology. If you are passionate about building the future and possess a deep understanding of AI infrastructure, we want to meet you.

Why Join Us?

  • Work on cutting-edge AI solutions that will shape the industry.
  • Competitive compensation package with equity options.
  • Flexible work environment and continuous learning opportunities.

Responsibilities

  • Architect scalable, high-performance machine learning systems and pipelines optimized for 2026 standards.
  • Lead the development and deployment of proprietary Large Language Models (LLMs) and Generative AI agents.
  • Collaborate with cross-functional teams to integrate advanced AI capabilities into core product ecosystems.
  • Ensure model robustness, interpretability, and ethical AI practices across all projects.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define technical roadmaps and best practices for AI infrastructure scaling.

Qualifications

  • 7+ years of experience in software engineering with a focus on machine learning and artificial intelligence.
  • Deep proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with MLOps, model serving, and real-time inference optimization.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps NLP Cloud Architecture Generative AI

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