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Senior AI Architect (2026 Vision)

Nexus Horizon
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future of intelligence?

Nexus Horizon 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 Austin. In this role, you won't just build models; you will define the infrastructure that powers the world in 2026 and beyond.

We are a remote-first company with a hub in Austin, focused on ethical, scalable, and high-performance machine learning solutions. Join us in shaping the algorithms of tomorrow.

Responsibilities

  • Design System Architecture: Architect end-to-end AI solutions, including data pipelines, model training frameworks, and inference engines.
  • Lead Research & Development: Spearhead the development of next-generation Large Language Models (LLMs) and generative AI tools.
  • Optimize Performance: Engineer systems that scale to billions of requests, ensuring low latency and high throughput in production environments.
  • Ethical AI Implementation: Establish and enforce guidelines for bias mitigation and responsible AI deployment.
  • Team Leadership: Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Collaboration: Work closely with product managers and software engineers to translate complex AI concepts into actionable features.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with MLOps and cloud platforms (AWS/GCP/Azure).
  • Experience: 7+ years of experience in machine learning engineering or applied AI research.
  • Vision: A proven track record of shipping innovative AI products to market.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Flexibility: Comfortable working in a fast-paced, agile environment.

Required Skills

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

Ready to Take This Challenge?

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