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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (Project 2026)

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of technology?

Nebula Future Systems is pioneering the next generation of Artificial Intelligence. We are seeking a visionary Senior AI Architect (Project 2026) to lead the development of scalable, autonomous systems designed to redefine the digital landscape by 2026. If you thrive on solving complex problems and pushing the boundaries of what is possible in AI, we want to meet you.

In this role, you will be the technical steward of our most ambitious R&D initiatives, ensuring our platforms are robust, secure, and scalable for the demands of the future.

Responsibilities

  • Architect and Design: Lead the end-to-end architectural design of high-performance AI infrastructure and machine learning pipelines.
  • R&D Leadership: Spearhead research into cutting-edge technologies including Large Language Models (LLMs), Generative AI, and Quantum-ready algorithms.
  • System Optimization: Design scalable cloud-native solutions to optimize model training times and inference latency.
  • Tech Strategy: Define technical roadmaps and standards for the Project 2026 initiative, ensuring alignment with business goals.
  • Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex requirements into elegant technical solutions.
  • Mentorship: Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 5+ years of experience in software engineering with a focus on AI/ML systems.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • System Design: Strong understanding of distributed systems, microservices architecture, and high-availability systems.
  • Innovation: Demonstrated ability to stay ahead of industry trends and implement innovative solutions.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to diverse stakeholders.

Required Skills

Python Machine Learning System Design Cloud Computing AWS GCP PyTorch Distributed Systems AI Architecture

Ready to Take This Challenge?

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