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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

Nexus Horizon
Austin
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are at the precipice of a technological revolution. Nexus Horizon is seeking a visionary Senior AI Architect to spearhead Project 2026, our initiative to redefine the digital landscape through advanced generative models and autonomous systems. If you are passionate about building the future and solving complex challenges at the intersection of humanity and machine intelligence, we want to meet you.

In this role, you will design the core architecture for next-generation AI solutions, ensuring scalability, security, and ethical alignment. You will work alongside a world-class team of engineers and data scientists to deploy systems that will power the digital ecosystem of the future.

Responsibilities

  • Architect Design: Lead the end-to-end architectural design of large-scale AI systems, focusing on latency reduction, throughput optimization, and fault tolerance.
  • Strategic Planning: Define the technical roadmap for Project 2026, evaluating emerging technologies such as Neuromorphic Computing and Quantum Machine Learning.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning within the engineering division.
  • Performance Engineering: Oversee the deployment of ML models in production environments, ensuring real-time inference capabilities.
  • Collaboration: Partner with product managers and stakeholders to translate business requirements into technical blueprints.

Qualifications

  • Experience: 8+ years of experience in software engineering and AI/ML architecture, with a specific focus on large language models (LLMs) or generative AI.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Leadership: Demonstrated ability to lead cross-functional teams and manage technical projects from conception to deployment.
  • Innovation: Strong track record of implementing novel algorithms or architectural patterns.

Required Skills

Python Machine Learning Artificial Intelligence System Architecture Kubernetes PyTorch Distributed Systems

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