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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Specialization)

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to shape the future of intelligence? Nexus Future Labs is seeking a visionary Senior AI Architect to join our elite team in San Francisco. We are building the foundational infrastructure for the 2026 era of autonomous systems.

In this role, you will bridge the gap between theoretical AI research and production-grade software engineering, designing neural architectures that are scalable, secure, and revolutionary. You will lead the charge in deploying next-generation Large Language Models (LLMs) and autonomous agents.

Why Nexus Future Labs?

  • Work on cutting-edge AGI and Neural Network research.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Architect and deploy scalable, fault-tolerant neural network models for large-scale production environments.
  • Optimize deep learning inference pipelines to achieve real-time latency requirements for critical applications.
  • Drive the research and integration of emerging Transformer architectures and RAG (Retrieval-Augmented Generation) systems.
  • Collaborate with cross-functional squads of data scientists, engineers, and product managers to translate technical requirements into architectural solutions.
  • Mentor junior data scientists and ML engineers, conducting rigorous code reviews and architectural guidance.
  • Ensure the security, compliance, and ethical use of AI models within the organization.
  • Qualifications

  • M.S. or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning Engineering or AI Research.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Strong experience with distributed computing frameworks (Kubernetes, AWS, GCP) and MLOps pipelines.
  • Demonstrated track record of shipping production-grade AI models that impact millions of users.
  • Required Skills

    Python PyTorch TensorFlow Machine Learning AI NLP Kubernetes AWS MLOps Deep Learning San Francisco

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