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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

Are you ready to shape the future of technology? Nexus Systems is seeking a visionary Senior AI Architect to lead our groundbreaking Project 2026. We are building the next generation of autonomous systems, and we need a leader who can bridge the gap between theoretical research and scalable production engineering.

In this pivotal role, you will define the architectural vision for our upcoming release, mentor a world-class engineering team, and drive innovation in artificial intelligence. If you are passionate about pushing the boundaries of what's possible and want to leave a lasting legacy in the tech industry, we want to meet you.

Why Join Nexus Systems?

  • Work on cutting-edge AI infrastructure.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with a premium office in Austin.

Join us in defining the roadmap for 2026 and beyond.

Responsibilities

  • Architect and design scalable, high-performance machine learning systems for the Project 2026 roadmap.
  • Lead technical strategy discussions and make critical decisions on stack selection and infrastructure.
  • Collaborate with cross-functional teams including product managers, data scientists, and security experts.
  • Mentor junior engineers and conduct code reviews to ensure best practices and maintain code quality.
  • Optimize existing models for speed, accuracy, and cost-efficiency in production environments.
  • Stay abreast of the latest AI trends to ensure our technology remains at the forefront of the industry.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree or PhD preferred.
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of MLOps, data pipelines, and distributed systems.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Cloud Computing AWS Docker Kubernetes System Architecture Agile

Ready to Take This Challenge?

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

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