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Senior AI Architect - Future Tech

Nexus Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the systems that will define the technological landscape of 2026 and beyond? Nexus Horizon is a forward-thinking research lab dedicated to solving humanity's most complex challenges through advanced artificial intelligence.

We are seeking a visionary Senior AI Architect to lead our R&D division. In this pivotal role, you will design the infrastructure for next-generation generative models, integrating quantum computing principles with neural networks to create systems that are not just smart, but self-evolving.

Why You Belong Here:

  • Shape the future of technology in a high-impact, innovative environment.
  • Competitive salary, equity package, and comprehensive benefits.
  • Access to state-of-the-art hardware and data centers.

Responsibilities

  • Design and implement scalable AI architectures capable of handling petabyte-scale data streams in real-time.
  • Lead the research and deployment of proprietary Large Language Models (LLMs) and multimodal systems.
  • Collaborate with data scientists and engineers to optimize model performance, latency, and accuracy.
  • Establish best practices for MLOps, ensuring robust, secure, and reproducible AI pipelines.
  • Stay ahead of industry trends, specifically focusing on the convergence of AI, IoT, and edge computing.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related STEM field.
  • 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Deep understanding of NLP, computer vision, and reinforcement learning algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch Machine Learning Deep Learning AWS System Design NLP MLOps

Ready to Take This Challenge?

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