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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon Initiative

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Welcome to the future. At Nebula Horizon Labs, we are not just building for today; we are engineering the digital landscape for 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our 2026 Horizon Initiative. This is a rare opportunity to define the architectural standards of next-generation artificial intelligence systems.

You will be at the forefront of integrating Large Language Models (LLMs) with real-time neural networks, ensuring our platforms are scalable, secure, and future-proof. If you thrive in ambiguity and possess a deep understanding of algorithmic efficiency, this role is for you.

Responsibilities

  • Design and oversee the architecture of scalable AI infrastructure capable of handling exabyte-scale data processing by 2026.
  • Lead the R&D efforts in Generative AI, focusing on multimodal capabilities and autonomous agents.
  • Establish best practices for MLOps, ensuring seamless deployment and monitoring of AI models.
  • Collaborate with cross-functional teams to translate complex technical requirements into robust engineering solutions.
  • Conduct rigorous code reviews and mentor junior engineers to foster a culture of innovation.
  • Identify potential risks in AI model bias and security vulnerabilities.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Strong proficiency in Python, C++, and distributed systems.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Deep knowledge of deep learning frameworks (TensorFlow, PyTorch).
  • Master's degree or PhD in Computer Science, AI, or a related field is highly preferred.
  • Exceptional problem-solving skills and a passion for the future of technology.

Required Skills

Artificial Intelligence Machine Learning Python C++ Distributed Systems MLOps AWS Kubernetes Deep Learning TensorFlow

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