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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Innovation Initiative

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the future of Generative Intelligence? Nexus Horizon is seeking a visionary Lead AI Architect to drive our 2026 Innovation Initiative. We are building the next generation of autonomous agents and cognitive systems that will power the enterprise of tomorrow.

In this role, you will lead a world-class team of researchers and engineers, pushing the boundaries of what is possible with Large Language Models (LLMs) and multimodal AI. You will be responsible for the end-to-end lifecycle of our AI products, from model architecture design to scalable deployment.

Responsibilities

  • Lead the architectural design and implementation of scalable, high-performance AI/ML systems for the 2026 roadmap.
  • Drive the research and development of state-of-the-art generative models, focusing on efficiency and accuracy.
  • Oversee the deployment of LLMs into production environments, ensuring low latency and high availability.
  • Establish and enforce best practices for code quality, security, and ethical AI usage.
  • Collaborate with product managers and stakeholders to translate business goals into technical roadmaps.
  • Perform rigorous model evaluation and continuous monitoring to improve performance over time.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in software engineering, with at least 5 years specializing in Machine Learning.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing.
  • Strong background in training, fine-tuning, and optimizing Large Language Models.
  • Experience with MLOps pipelines (Kubernetes, Docker, MLflow) and cloud infrastructure (AWS, GCP).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs MLOps Kubernetes AWS GCP NLP

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