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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Nexus Future Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of tomorrow? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives. As we prepare for the massive technological shifts of 2026, we need a leader who can bridge the gap between current deep learning capabilities and future-proof infrastructure.

In this role, you will architect scalable, high-performance neural networks and drive the integration of emerging AI paradigms. You will work closely with cross-functional teams to ensure our solutions are not only state-of-the-art today but resilient and scalable for the future.

Why join us?
We offer competitive equity, a remote-first culture, and the opportunity to work on projects that will define the next era of artificial intelligence.

Responsibilities

  • Architect and implement scalable AI infrastructure designed for future scalability through 2026 and beyond.
  • Lead the development of advanced Machine Learning models, focusing on Transformer architectures and Generative AI.
  • Optimize existing algorithms for reduced latency and improved inference speeds.
  • Collaborate with data scientists to translate complex business requirements into technical AI solutions.
  • Establish best practices for MLOps, ensuring model deployment, monitoring, and retraining pipelines are robust.
  • Conduct research on emerging technologies to ensure our roadmap remains competitive.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Kubernetes AWS GCP MLOps Generative AI

Ready to Take This Challenge?

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