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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead the next generation of intelligent systems. In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable enterprise solutions.

We are not just building software for today; we are engineering the infrastructure for tomorrow. If you have a passion for pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous agents, we want to hear from you.

Why join us?

  • Work on cutting-edge projects that define the future of tech.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a San Francisco hub.

Responsibilities

  • Architect and design scalable AI infrastructure designed for the 2026 era, including distributed computing environments and edge AI solutions.
  • Lead the research and development of proprietary machine learning models and neural networks.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate business requirements into technical AI strategies.
  • Optimize model performance, latency, and cost-efficiency at scale.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay ahead of industry trends, specifically focusing on the evolution of AI safety and alignment.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience deploying Large Language Models (LLMs) and Generative AI applications in production environments.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Experience with MLOps, data pipelines, and model versioning.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Docker MLOps Generative AI LLMs Machine Learning Cloud Architecture

Ready to Take This Challenge?

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