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Lead AI Architect: Shaping the Future of 2026

Nexus Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Tech is on the hunt for a visionary Lead AI Architect to spearhead our next-generation generative intelligence initiatives. In this pivotal role, you won't just manage code; you will architect the neural pathways of the future, integrating cutting-edge Large Language Models (LLMs) into scalable, enterprise-grade solutions.

We are looking for a thought leader who thrives in ambiguity and possesses the foresight to turn abstract concepts into robust, deployable systems. If you are passionate about the ethical implications of AI and want to build the infrastructure that powers the world of tomorrow, this is your opportunity to leave a lasting legacy.

Responsibilities

  • Design and implement scalable AI architectures for next-gen applications.
  • Lead the integration of Generative AI models and LLMs into core products.
  • Define technical roadmaps and best practices for machine learning engineering.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Collaborate with product managers to translate futuristic concepts into technical specifications.
  • Ensure data privacy, security, and ethical compliance in all AI implementations.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying production-grade machine learning models.
  • Strong understanding of MLOps, cloud infrastructure (AWS/Azure/GCP), and containerization.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning System Architecture MLOps Generative AI Large Language Models Cloud Computing

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