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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Shaping the Future of 2026

Nexus Horizon
Austin
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are Nexus Horizon, a pioneering tech firm building the infrastructure for the 2026 era. We are looking for a visionary Senior AI Architect to lead our advanced research division. In this role, you will define how artificial intelligence integrates with enterprise systems to solve complex global challenges. You won't just be maintaining legacy code; you will be architecting the next generation of generative models and adaptive learning systems that will define the industry standard for the next decade.

Join us in our mission to bridge the gap between theoretical AI potential and practical, scalable application. If you thrive in a dynamic environment where innovation is the currency and impact is the goal, we want to meet you.

Responsibilities

  • Design and implement scalable, robust AI architectures capable of handling millions of data points in real-time.
  • Lead the R&D strategy for Generative AI, Large Language Models (LLMs), and Computer Vision applications.
  • Collaborate with product teams to translate high-level business objectives into technical AI roadmaps.
  • Optimize deep learning models for latency, throughput, and energy efficiency.
  • Establish best practices for MLOps, ensuring seamless deployment and monitoring of production models.
  • Conduct rigorous code reviews and mentor a team of talented machine learning engineers.
  • Predict and mitigate ethical risks and biases in AI decision-making processes.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong understanding of Deep Learning, Natural Language Processing (NLP), and Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Demonstrated ability to lead cross-functional teams and manage complex project lifecycles.
  • Familiarity with quantum computing paradigms or edge computing is a significant plus.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch MLOps AWS GCP NLP Generative AI System Architecture Austin Texas Remote

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