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Senior AI Architect - 2026 Roadmap

Nexus Future Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of technology? Nexus Future Systems is seeking a visionary Senior AI Architect to spearhead our roadmap for 2026. In this pivotal role, you won't just be building models; you will architect the very foundation of our next-generation intelligence systems. We are looking for a pioneer who thrives on solving complex problems and pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and Large Language Models (LLMs).

As we prepare for the technological leap of 2026, we need a leader who understands the intersection of deep learning, scalable cloud architecture, and ethical AI implementation. You will work in a fast-paced, high-impact environment alongside world-class engineers and data scientists.

Responsibilities

  • Architect and deploy scalable, high-performance AI models designed for 2026 scalability requirements.
  • Define the technical strategy and long-term roadmap for AI capabilities, ensuring alignment with business goals.
  • Lead R&D initiatives in Large Language Models (LLMs) and Neural Network optimization.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product teams to integrate AI solutions into core business applications seamlessly.
  • Ensure robust data pipelines and infrastructure that support real-time inference at scale.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 5+ years of experience in machine learning engineering and deep learning architecture.
  • Proficiency in Python, PyTorch, TensorFlow, and C++.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning paradigms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Demonstrated ability to translate complex research concepts into production-ready software.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning NLP Cloud Architecture

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