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Senior AI Architect - Project 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the technological landscape of the future? Nexus Horizon Systems is seeking a visionary Senior AI Architect to spearhead Project 2026, our next-generation autonomous intelligence platform.

We are building the neural networks that will define the next decade of human-computer interaction. As a key member of our elite R&D division, you will bridge the gap between theoretical AI research and production-grade software engineering, ensuring our systems are scalable, secure, and transformative.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models (LLMs).
  • Shape the strategic direction of our flagship technology roadmap.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with state-of-the-art equipment.

If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and neural network infrastructures for Project 2026.
  • Lead the research and optimization of LLMs, ensuring high accuracy and low latency in real-time applications.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science) to define technical requirements and architectural standards.
  • Implement robust MLOps strategies for model training, deployment, and monitoring.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct code reviews and ensure adherence to best practices for security and scalability.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in software engineering with a strong focus on AI/ML.
  • Deep expertise in Python, TensorFlow, PyTorch, and Keras.
  • Proven experience designing and deploying Large Language Models (GPT, BERT, etc.) at scale.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning LLM NLP MLOps AWS Kubernetes Architecture Generative AI

Ready to Take This Challenge?

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

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