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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Future Tech Initiative

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to define the future of technology in 2026?

Nexus Horizon Labs is pioneering the next generation of autonomous AI systems. We are looking for a visionary Senior AI Architect to lead our R&D division. In this pivotal role, you will architect scalable neural networks and generative AI models that will set the standard for the industry by 2026.

You will work at the intersection of quantum computing and deep learning, optimizing systems for real-time decision making in complex environments. If you are passionate about pushing the boundaries of what is possible and want to build the infrastructure for tomorrow, we want to hear from you.

Why Join Us?

  • Work on cutting-edge Generative AI and Autonomous Agents.
  • Competitive equity package and 401(k) matching.
  • Flexible remote-first policy with state-of-the-art office amenities in Austin.

Responsibilities

  • Lead the architectural design and implementation of scalable AI systems for the 2026 product roadmap.
  • Develop and optimize deep learning models, focusing on low-latency inference and high-throughput training.
  • Collaborate with cross-functional teams (Data Science, Engineering, Product) to translate technical requirements into robust solutions.
  • Establish best practices for MLOps, ensuring reproducibility and model governance.
  • Research and evaluate emerging technologies, such as Neuromorphic computing, to stay ahead of the curve.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field.
  • 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing systems that handle petabytes of data with high availability.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing MLOps System Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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