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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nebula Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future? Nebula Future Systems is looking for a visionary Senior AI Architect to lead our cutting-edge research division. We are defining the roadmap for 2026 and beyond, focusing on scalable generative AI and autonomous intelligent agents.

In this role, you will not just build models; you will define the infrastructure that powers the next generation of human-computer interaction. Join a team of elite engineers and researchers pushing the boundaries of what is possible.

Why Join Us?

  • Work on proprietary, next-gen AI infrastructure.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with state-of-the-art equipment.

We are looking for a leader who thrives in ambiguity and is obsessed with technical excellence.

Responsibilities

  • Design and implement scalable AI infrastructure for 2026 roadmap projects.
  • Lead the architecture of large-scale generative models and natural language processing systems.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Ensure model reliability, security, and ethical AI compliance.
  • Oversee the deployment of MLOps pipelines for real-time inference.
  • Research emerging trends in AI, including multimodal learning and edge computing.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead role.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade machine learning models.
  • Experience with large language models (LLMs) and fine-tuning techniques.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes AWS GCP Natural Language Processing Generative AI System Design Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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