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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon AI
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Nexus Horizon AI is at the forefront of defining the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the design and implementation of our next-generation, autonomous systems. In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production-grade software, building the infrastructure that will power the future of human-machine interaction.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible. You will work in a high-performance environment that values innovation, transparency, and measurable impact, ensuring our solutions are not only powerful but also ethical and secure.

Responsibilities

  • Design and architect scalable, fault-tolerant AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the integration of cutting-edge generative models (LLMs, diffusion models) into enterprise solutions.
  • Establish and enforce rigorous data governance and ethical AI guidelines to prevent bias and ensure safety.
  • Collaborate with cross-functional teams to translate complex business requirements into technical specifications.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
  • Research emerging technologies, including quantum computing applications and neuromorphic hardware.

Qualifications

  • 10+ years of experience in software engineering and machine learning architecture.
  • Advanced degree (PhD or Master's) in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of deploying production-ready AI models with high accuracy and low latency.
  • Strong understanding of MLOps, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Cloud Architecture AWS GCP Distributed Systems AI Ethics Generative AI

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