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Lead AI Architect – Project 2026

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are not merely predicting the future; we are engineering it. Nebula Future Systems is seeking a visionary Lead AI Architect – Project 2026 to spearhead the development of our next-generation autonomous intelligence platform.

In this pivotal role, you will define the architectural backbone of systems that will redefine human-machine interaction. You will bridge the gap between theoretical AI research and scalable, production-grade engineering.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Shape the ethical framework of AI development.
  • Competitive compensation and equity package.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable, high-performance AI infrastructure using modern cloud-native technologies.
  • Model Optimization: Lead initiatives to optimize inference latency and reduce computational costs for large-scale LLM deployments.
  • Team Mentorship: Foster a culture of technical excellence, providing mentorship to senior engineers and data scientists alike.
  • Technical Roadmap: Define the technical vision for Project 2026, ensuring alignment with business goals and emerging industry standards.
  • Cross-Functional Collaboration: Partner with product managers, security teams, and UX designers to integrate AI capabilities seamlessly into user experiences.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of software engineering experience, with at least 5 years specifically in AI/ML architecture.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/Azure/GCP).
  • Domain Knowledge: Proven track record of deploying production-ready Large Language Models or Generative AI systems.
  • Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Kubernetes AWS Generative AI LLM Machine Learning Architecture Cloud Computing

Ready to Take This Challenge?

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