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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are building the infrastructure for the 2026 era. Nexus Horizon Labs is seeking a visionary AI Architect to lead the development of scalable, ethical, and cutting-edge artificial intelligence systems. If you are passionate about the future of technology and want to shape the digital landscape of tomorrow, we want to hear from you.

In this role, you will be at the forefront of the 2026 roadmap, designing architectures that integrate generative AI, predictive modeling, and ethical machine learning into core business solutions.

Responsibilities

  • Design and implement robust AI architectures capable of handling the demands of the 2026 technological landscape.
  • Lead the optimization and deployment of Large Language Models (LLMs) and Generative AI frameworks.
  • Establish and enforce data governance and ethical AI protocols to ensure fairness and transparency.
  • Collaborate with product teams to translate complex 2026 strategic goals into technical roadmaps.
  • Drive innovation in edge computing and real-time data processing for next-gen applications.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence.

Qualifications

  • 7+ years of experience in software engineering with a focus on AI and machine learning.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven experience architecting scalable cloud-native solutions on AWS or GCP.
  • Strong understanding of AI ethics, bias mitigation, and regulatory compliance.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with MLOps and continuous integration/continuous deployment (CI/CD) pipelines.

Required Skills

Python Machine Learning AI Architecture AWS GCP TensorFlow PyTorch MLOps Generative AI Cloud Computing

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