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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect – 2026 Strategic Vision

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are looking for a Senior AI Architect to define the technical trajectory of our 2026 Strategic Vision. At Nexus Horizon Labs, we are building the infrastructure for the future of autonomous intelligence. This is not a standard engineering role; it is a chance to architect the systems that will power the next decade of technological evolution.

Role Overview
You will lead the design and implementation of scalable AI frameworks, focusing on Generative AI, Large Language Models (LLMs), and edge computing integration. You will work at the intersection of research and production, ensuring our solutions are not only cutting-edge but also robust and secure.

Key Objectives
• Architect resilient, distributed neural networks designed for the demands of 2026.
• Oversee the transition of experimental AI models into scalable, enterprise-grade products.
• Drive innovation in MLOps and automated model governance.

Responsibilities

  • Architect and oversee the development of next-generation AI infrastructure aligned with the 2026 roadmap.
  • Lead the integration of Large Language Models (LLMs) into core product ecosystems.
  • Design high-availability systems capable of handling real-time generative workloads.
  • Establish best practices for AI security, data privacy, and ethical model deployment.
  • Collaborate with product leaders to define technical specifications for futuristic features.
  • Mentor a team of brilliant engineers and data scientists.

Qualifications

  • 10+ years of experience in software architecture, with 5+ years specifically in AI/ML.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern NLP frameworks.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and Kubernetes.
  • Proven experience deploying MLOps pipelines and managing model lifecycle.
  • Strong background in mathematics, statistics, and machine learning theory.
  • Excellent problem-solving skills and the ability to lead complex technical initiatives.

Required Skills

Python PyTorch TensorFlow MLOps AWS Kubernetes Generative AI NLP System Design Distributed Systems

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