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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - The 2026 Initiative

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

Job Description

Join Nexus Horizon as we redefine the technological landscape leading up to 2026. We are seeking a visionary Senior AI Architect to lead our groundbreaking initiative, designing scalable, secure, and cutting-edge artificial intelligence systems that will shape the future.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering. You will architect the infrastructure that powers our next-generation predictive models and autonomous systems. If you are passionate about pushing the boundaries of what's possible in machine learning and want to leave a lasting legacy in the tech industry, we want to meet you.

Why Join Us?

  • Work on high-impact projects with a mission-driven team.
  • Competitive compensation package with equity options.
  • Flexible remote and hybrid work environment.
  • Access to state-of-the-art computing resources and research tools.

Responsibilities

  • Design and implement robust, scalable AI architectures for large-scale data processing and model training.
  • Lead the 2026 Initiative, defining technical roadmaps and ensuring alignment with business goals.
  • Optimize existing machine learning pipelines to improve latency, throughput, and accuracy.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and best practices.
  • Collaborate with cross-functional teams including Product, Engineering, and Data Science.
  • Ensure system reliability, security, and compliance with industry standards.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field (5+ years of industry experience can substitute).
  • Extensive experience designing and deploying end-to-end machine learning systems.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of LLMs, NLP, and generative AI models.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning TensorFlow PyTorch LLMs Cloud Architecture AWS GCP Kubernetes MLOps Data Engineering

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