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Information Technology 🏒 Full Time ⭐️ Verified

Next-Gen AI Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to build the digital infrastructure of tomorrow? Nexus Horizon Technologies is seeking a visionary Next-Gen AI Architect to lead our cutting-edge projects targeting the technological milestones of 2026. In this pivotal role, you will bridge the gap between theoretical AI advancements and scalable enterprise solutions, ensuring our platforms remain at the bleeding edge of innovation.

We are looking for a leader who thrives in ambiguity and possesses the technical prowess to engineer systems that are not only intelligent but also sustainable and ethical. Join us in defining the future of technology.

Responsibilities

  • Architect and design scalable, next-generation AI systems capable of handling exabyte-scale data processing.
  • Lead the integration of Generative AI models into core product workflows to enhance user experience and operational efficiency.
  • Define technical roadmaps and best practices for machine learning engineering, focusing on 2026-era standards.
  • Collaborate with cross-functional teams including product managers, data scientists, and security experts to ensure robust security and compliance.
  • Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
  • Evaluate emerging technologies such as quantum computing interfaces to stay ahead of the curve.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud-native architectures (AWS/GCP/Azure).
  • Proven track record of leading high-performance teams in a fast-paced, startup-like environment.
  • Strong understanding of ethical AI principles, bias mitigation, and data privacy regulations (GDPR/CCPA).
  • Familiarity with edge computing and decentralized systems.
  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field is a plus.

Required Skills

Artificial Intelligence Machine Learning Cloud Architecture Python TensorFlow PyTorch AWS Leadership System Design Generative AI

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