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Lead AI Architect | 2026 Strategic Initiative

Apex Horizon AI
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are at the dawn of a transformative era in technology. As part of our aggressive 2026 Strategic Initiative, Apex Horizon AI is seeking a visionary Lead AI Architect to architect the foundational models that will redefine human-machine interaction. If you are passionate about pushing the boundaries of generative AI, autonomous agents, and scalable deep learning systems, we want to hear from you.

In this role, you will not just manage code; you will shape the future of intelligent systems. You will be responsible for designing the technical roadmap that bridges the gap between theoretical research and production-grade reality, ensuring our solutions are ethical, efficient, and revolutionary.

Responsibilities

  • Architect and deploy next-generation generative models and autonomous agents designed for the 2026 era of computing.
  • Lead a team of elite ML engineers in research, development, and the end-to-end productionization of AI solutions.
  • Optimize model inference pipelines for real-time, low-latency applications serving millions of users.
  • Establish industry-leading best practices for MLOps, data governance, and ethical AI implementation.
  • Collaborate with cross-functional product and engineering teams to translate complex AI capabilities into intuitive, high-impact user features.
  • Define technical vision and strategy for our AI infrastructure, ensuring scalability and security.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 8+ years of progressive experience in machine learning, deep learning, or AI research with a focus on NLP or Computer Vision.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern GPU computing frameworks.
  • Strong background in distributed systems, cloud computing (AWS/GCP/Azure), and container orchestration (Kubernetes).
  • Demonstrated experience leading high-impact AI projects from concept to global deployment.
  • Deep understanding of model compression, quantization, and edge AI deployment strategies.

Required Skills

Python PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes MLOps NLP Computer Vision Distributed Systems

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