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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Visionary)

Nexus Horizon Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on the precipice of a new era in artificial intelligence, and Nexus Horizon Systems is building the vessel. We are seeking a visionary Lead AI Architect (2026 Focus) to design the next generation of generative models and autonomous agent infrastructure. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to meet you.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will lead a team of elite engineers in architecting systems capable of reasoning, multi-modal interaction, and real-time adaptation.

Why Join Us?

  • Impact: Define the technical roadmap for our flagship 2026 AI suite.
  • Culture: A 'No-Bullshit' environment focused on autonomy, ownership, and high performance.
  • Compensation: Competitive salary and equity packages.

Responsibilities

  • Architect and implement scalable infrastructure for Large Language Models (LLMs) and Multi-Agent systems targeting 2026 capabilities.
  • Lead the design of proprietary neural architectures that optimize for energy efficiency and inference speed.
  • Mentor senior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Collaborate with product teams to translate complex AI roadmaps into executable technical specifications.
  • Ensure data privacy, security, and compliance across all AI training and deployment pipelines.
  • Conduct rigorous performance benchmarking and optimization of model latency and throughput.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML systems architecture.
  • Deep expertise in Python, Rust, and C++ with proven experience deploying models at scale.
  • Strong understanding of transformer architectures, attention mechanisms, and vector databases.
  • Experience with MLOps tools (Kubernetes, Docker, MLflow) and cloud platforms (AWS/GCP).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Rust C++ PyTorch TensorFlow Kubernetes MLOps AWS GCP Large Language Models Transformer Architecture Multi-Agent Systems System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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