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Senior AI Architect - Shaping the Future of 2026

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 195.000 – USD 265.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to join Nexus Horizon Technologies and lead the development of next-generation artificial intelligence systems designed for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical machine learning research and scalable production infrastructure. You will be responsible for architecting robust, ethically aligned AI models that will power our core product suite.

If you are passionate about the future of technology and want to build the systems that will define the landscape of 2026, we want to hear from you. You will work in a collaborative environment with world-class engineers and researchers to push the boundaries of what is possible with Large Language Models (LLMs) and generative agents.

Responsibilities

  • Design and architect scalable, high-performance AI infrastructure to support enterprise-grade applications.
  • Lead the research and implementation of cutting-edge generative AI models, ensuring accuracy and efficiency.
  • Collaborate with cross-functional teams (product, engineering, legal) to integrate AI capabilities into user-facing products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure all AI systems adhere to strict ethical guidelines and bias mitigation protocols.
  • Optimize model inference speed and reduce computational costs for large-scale deployment.
  • Stay ahead of industry trends in AI and propose strategic technical roadmaps for 2026.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Deep experience with deploying large language models (LLMs) in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps pipelines.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.
  • Demonstrated track record of shipping high-impact AI products.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP AWS MLOps Cloud Architecture Generative AI

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