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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Vision

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our next-generation infrastructure initiatives. We are not just building software; we are engineering the future.

In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, real-world applications. You will define the architectural blueprint for our AI-driven products, ensuring we remain at the forefront of innovation in a rapidly evolving market.

Why Join Us?

  • Work on cutting-edge Generative AI and LLM integration.
  • Competitive compensation package with performance bonuses.
  • Remote-first culture with opportunities for in-person collaboration in Austin.
  • Access to state-of-the-art hardware and research resources.

Join a team of elite engineers dedicated to solving the complex challenges of the digital age.

Responsibilities

  • Design and implement scalable machine learning architectures for the 2026 product roadmap.
  • Lead the optimization of deep learning models for high-performance inference on cloud infrastructure.
  • Collaborate with cross-functional teams to integrate AI capabilities into user-facing products seamlessly.
  • Establish best practices for data pipelines, model versioning, and MLOps workflows.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Conduct rigorous research into emerging AI technologies to drive product innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on large-scale systems.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying production-ready machine learning models.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps Generative AI Cloud Architecture

Ready to Take This Challenge?

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

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