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Lead AI Architect: Shaping the Future of Intelligence (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are Nexus Horizon Labs, a pioneering research organization dedicated to defining the technological landscape of 2026. We are seeking a visionary Lead AI Architect to spearhead the development of next-generation Large Language Models (LLMs) and autonomous agent systems.

In this role, you won't just maintain legacy systems; you will architect the intelligence layer of tomorrow. You will work in a high-performance environment, collaborating with top-tier researchers and engineers to solve complex problems in reasoning, multimodal understanding, and human-computer interaction.

Join us to build the foundational technologies that will power the global economy of the future.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure capable of handling enterprise-grade workloads.
  • Lead research initiatives in prompt engineering, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF).
  • Optimize model inference latency and cost-efficiency for deployment on edge and cloud environments.
  • Establish best practices for data privacy, security, and ethical AI deployment.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Proven experience building, deploying, and scaling Large Language Models (e.g., GPT, Llama, Claude).
  • Deep expertise in Python, PyTorch, or TensorFlow with a focus on deep learning frameworks.
  • Strong understanding of MLOps, Kubernetes, and cloud-native architectures (AWS/GCP).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM GPT RAG MLOps Kubernetes AWS Cloud Architecture

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