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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Vision

Nexus Future Labs
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the technology landscape of 2026?

Nexus Future Labs is seeking a visionary Senior AI Architect to lead our next-generation intelligence initiatives. In this role, you won't just be building algorithms; you will architect the systems that will power the future of human-machine interaction.

We are looking for a self-driven leader who thrives in ambiguity and is passionate about pushing the boundaries of what is possible with Artificial Intelligence and Deep Learning. Join us to build the infrastructure that will define the decade ahead.

Why Join Us?

  • Work on cutting-edge projects that shape the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with hubs in Austin.
  • Access to state-of-the-art hardware and research facilities.

Responsibilities

  • Design and deploy scalable AI infrastructure aligned with 2026 strategic goals.
  • Lead the research, development, and implementation of advanced Machine Learning models and Large Language Models (LLMs).
  • Optimize algorithms for real-time performance, low latency, and high throughput.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical solutions.
  • Ensure system security, scalability, and reliability across distributed environments.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Minimum of 5+ years of professional experience in software engineering and machine learning.
  • Proven track record of deploying and scaling LLMs and NLP solutions in production environments.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong understanding of cloud architectures (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Experience in Agile/Scrum environments and a demonstrated ability to lead technical projects.

Required Skills

Python TensorFlow PyTorch Machine Learning NLP LLMs AWS Kubernetes System Design Agile

Ready to Take This Challenge?

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

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