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Lead AI Architect 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future of Intelligence Starts Here.

Nexus Future Labs is pioneering the next generation of Artificial General Intelligence (AGI) and Quantum-AI interfaces. We are looking for a visionary Lead AI Architect to design the foundational systems that will define the technological landscape of 2026 and beyond. If you possess an unyielding passion for pushing the boundaries of machine learning and ethical AI, we want to hear from you.

Why Join Us?
We offer a competitive equity package, top-tier healthcare, and a remote-first culture that fosters innovation. You will work alongside the brightest minds in Silicon Valley to solve problems that were once thought impossible.

Responsibilities

  • Design and architect scalable, high-performance AI models capable of processing multi-modal data streams in real-time.
  • Lead a team of senior data scientists and engineers in the development of Generative AI 4.0 prototypes.
  • Define technical roadmaps and ensure the scalability, security, and efficiency of our core AI infrastructure.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical solutions.
  • Establish best practices for model governance, bias mitigation, and ethical AI deployment.
  • Conduct cutting-edge research to integrate emerging technologies, such as Neuromorphic computing, into production environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in software engineering and artificial intelligence development.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark).
  • Proven track record of deploying AI systems that handle terabytes of data with sub-millisecond latency.
  • Strong understanding of ethical AI principles and experience implementing safety guardrails for LLMs.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional leadership skills with the ability to mentor high-performing engineering teams.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning AI Ethics Distributed Systems Docker Kubernetes Generative AI

Ready to Take This Challenge?

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