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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nebula AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological roadmap for our upcoming 2026 product suite. This is not just a coding role; it is an opportunity to pioneer the future of human-machine interaction and shape the landscape of artificial intelligence for the next decade. You will be at the forefront of deploying Generative AI, optimizing large-scale neural networks, and building ethical, scalable systems.

Why Join Us?

  • Work on cutting-edge technology that defines the 2026 tech stack.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in San Francisco.
  • Access to the latest hardware for high-performance computing.

Responsibilities

  • Architect and implement scalable, fault-tolerant Generative AI pipelines using state-of-the-art LLMs and Transformers.
  • Optimize model inference and reduce latency for real-time, high-volume applications.
  • Lead a team of data scientists and engineers in research, development, and deployment of AI models.
  • Establish best practices for MLOps, ensuring continuous integration and delivery of machine learning models.
  • Stay ahead of industry trends in AI to advise leadership on strategic technology investments.
  • Collaborate with product managers to translate complex technical requirements into user-centric solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in Machine Learning Engineering or Applied AI research.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical teams and managing complex projects.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps Docker Kubernetes AWS GCP Data Science Cloud Computing

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