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Senior AI Architect - Project 2026

Nebula Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect to lead the development of our flagship 'Project 2026' initiative. As we stand on the precipice of the next industrial revolution, we are building autonomous systems that will define the future of human-computer interaction.

In this role, you will not just write code; you will architect the neural foundations of tomorrow. You will work alongside elite researchers to deploy next-generation Generative AI, Large Language Models, and autonomous agents that push the boundaries of what is possible.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable, secure, and high-performance AI infrastructure specifically for the Project 2026 ecosystem.
  • Model Optimization: Spearhead the fine-tuning and optimization of proprietary LLMs to reduce inference latency and enhance reasoning capabilities.
  • Roadmap Strategy: Define the technical roadmap for AI integration across all product lines, ensuring alignment with the 2026 vision.
  • System Integration: Bridge the gap between theoretical AI research and practical, production-ready software engineering.
  • Leadership & Mentorship: Guide a team of high-performing engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Ethics: Ensure all AI systems adhere to strict data privacy standards and ethical guidelines regarding bias and transparency.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural or lead role.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Transformer architectures, and vector databases.
  • Problem Solving: Demonstrated ability to solve complex, large-scale machine learning problems and optimize system performance.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch AWS Large Language Models System Design NLP Deep Learning Architecture Generative AI

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