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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (Year 2026 Focus)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

We are on the cusp of a technological revolution, and Nexus Horizon is leading the charge into Year 2026. We are looking for a highly skilled Future-Ready AI Architect to design the neural infrastructure that will power the next decade of innovation. This is not just a coding role; it is a strategic position where you will define how artificial intelligence evolves in our ecosystem.

In this role, you will move beyond current trends to anticipate the demands of 2026, building scalable systems that are resilient, ethical, and transformative. You will work at the intersection of deep learning, cloud architecture, and enterprise strategy.

Responsibilities

  • Design and implement scalable AI infrastructure designed for the specific technological requirements of 2026 and beyond.
  • Lead the architectural strategy for integrating Generative AI and Large Language Models into core products.
  • Collaborate with R&D teams to translate futuristic concepts into deployable, production-grade software.
  • Establish best practices for data governance, model monitoring, and AI safety.
  • Drive the adoption of next-gen technologies, ensuring the tech stack remains future-proof.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 8+ years of experience in software engineering and architecture, with 5+ years in AI/ML.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven experience designing systems for high availability and low latency.
  • Strong background in cloud platforms (AWS, GCP) and container orchestration (Kubernetes).
  • Exceptional problem-solving skills with a focus on long-term scalability.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture System Design TensorFlow PyTorch Kubernetes AWS GCP

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