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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Systems
Austin
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Nexus Future Systems is at the forefront of the technological revolution, pioneering the next generation of intelligent applications. As we approach the pivotal year of 2026, we are seeking a visionary Senior AI Architect to lead our research and development initiatives. This is a unique opportunity to shape the trajectory of artificial intelligence and define the standards for future tech ecosystems.

In this role, you will bridge the gap between theoretical research and practical application, deploying robust systems that solve complex problems. If you are driven by innovation and possess a deep understanding of the machine learning lifecycle, we want to hear from you.

Responsibilities

  • Architect and lead the development of scalable AI/ML infrastructure optimized for the 2026 era.
  • Oversee the training, fine-tuning, and deployment of state-of-the-art Large Language Models (LLMs).
  • Define and execute the technical roadmap for our machine learning platform and research projects.
  • Collaborate with product and engineering teams to integrate AI solutions into consumer-facing applications.
  • Conduct cutting-edge research in Natural Language Processing, Computer Vision, and reinforcement learning.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in AI/ML engineering, with a focus on NLP and Deep Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Deep understanding of distributed computing systems, cloud platforms (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of delivering high-performance ML systems in production environments.
  • Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes NLP Deep Learning Machine Learning LLMs AI Architecture Data Science

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