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Senior AI Architect - Future Tech (2026 Vision)

Nebula Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join the vanguard of technological innovation at Nebula Future Labs. We are building the foundational AI infrastructure that will define the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our advanced research division, bridging the gap between theoretical machine learning and scalable production environments.

In this pivotal role, you will architect the next generation of generative intelligence systems, ensuring our solutions are not only cutting-edge but also ethical, efficient, and robust. You will work directly with C-level leadership to set the technical roadmap for our upcoming decade.

Responsibilities

  • Lead the architectural design and implementation of core machine learning pipelines and large-scale AI models.
  • Define and enforce best practices for data governance, model deployment, and system scalability.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions into the core product.
  • Conduct feasibility studies and research into emerging technologies to drive the 2026 innovation roadmap.
  • Mentor senior engineers and foster a culture of technical excellence and continuous learning.
  • Ensure compliance with ethical AI standards and safety guidelines.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural or lead engineering role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying large-scale LLMs (Large Language Models) in production environments.
  • Strong understanding of NLP, deep learning architectures, and neural network optimization.
  • Exceptional leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Distributed Systems Cloud Architecture AI Ethics Leadership

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