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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on a mission to redefine the technological landscape leading up to and beyond the pivotal year of 2026. Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead our next-generation artificial intelligence initiatives. You will be at the forefront of developing scalable, autonomous systems that will define the future of enterprise intelligence. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and synthetic data, we want to hear from you.

Join a team of elite engineers and researchers dedicated to building the infrastructure of tomorrow.

Responsibilities

  • Architect Next-Gen AI Systems: Design and deploy robust, scalable architectures for LLMs and autonomous agents expected to be industry standards by 2026.
  • Lead Research & Development: Oversee the development of proprietary algorithms focusing on multimodal learning and human-AI interaction.
  • Optimize Performance: Drive efficiency improvements in training pipelines, reducing latency and computational costs while maximizing model accuracy.
  • Guide Technical Strategy: Define the technical roadmap for AI infrastructure, ensuring alignment with long-term business goals and regulatory standards.
  • Mentorship: Foster a culture of innovation by mentoring junior engineers and conducting code reviews.
  • Collaboration: Partner with product and engineering teams to integrate advanced AI solutions seamlessly into existing workflows.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of experience in machine learning engineering, deep learning, or AI research.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks.
  • Specialization: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Architecture: Demonstrated ability to design large-scale cloud infrastructure (AWS/Azure/GCP) for AI workloads.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex, open-ended engineering problems.

Required Skills

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

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