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Lead AI Architect: 2026 Horizon

QuantumHorizon Systems
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are at the precipice of a technological singularity. As a Lead AI Architect at QuantumHorizon Systems, you won't just write code; you will architect the intelligence that powers our civilization into the year 2026 and beyond.

Our mission is to pioneer autonomous systems that redefine human capability. You will lead a high-performance engineering team in designing, deploying, and scaling next-generation Artificial General Intelligence (AGI) models.

Why join us? We offer competitive compensation, equity options, and the opportunity to shape the future of technology. Work in a state-of-the-art facility in the heart of Austin's tech corridor.

Responsibilities

  • Strategic Roadmapping: Define and drive the technical vision for the 2026 product lifecycle, ensuring scalability and long-term viability.
  • System Architecture: Design robust, fault-tolerant neural network architectures capable of processing petabyte-scale data streams in real-time.
  • Talent Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Research Integration: Translate cutting-edge academic research into production-ready engineering solutions.
  • Security & Ethics: Implement rigorous safety protocols and ethical guidelines to ensure AI alignment with human values.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 12+ years of full-stack software engineering experience, with at least 5 years in specialized AI/ML leadership roles.
  • Technical Proficiency: Deep expertise in PyTorch, TensorFlow, or JAX; experience with Large Language Models (LLMs) and Reinforcement Learning.
  • Leadership: Proven track record of managing cross-functional teams and delivering complex systems on time.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and investors.

Required Skills

Python Machine Learning Artificial Intelligence System Architecture Leadership PyTorch TensorFlow AWS Kubernetes

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