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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Visionary

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

Job Description

We are building the future, and we need you to help us define it. Nexus Horizon is a pioneering research organization focused on the technological landscape of 2026 and beyond. We are seeking a Senior AI Architect to lead the development of next-generation neural networks and scalable machine learning infrastructure.

In this pivotal role, you will bridge the gap between theoretical AI research and practical, deployable systems. You will be responsible for architecting solutions that solve complex problems with high precision and speed, ensuring our platforms remain at the cutting edge of the industry.

Why join Nexus Horizon?

  • Work on projects that shape the technological reality of the upcoming decade.
  • Competitive equity package and benefits.
  • Flexible remote-first culture with quarterly in-person innovation sprints.

Responsibilities

  • Design and implement robust AI architectures capable of handling massive data streams for the 2026 ecosystem.
  • Lead a team of data scientists and engineers in deploying state-of-the-art machine learning models.
  • Define technical roadmaps and best practices for AI development within the organization.
  • Conduct deep research into emerging AI paradigms and evaluate their feasibility for implementation.
  • Mentor junior staff and foster a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to align AI capabilities with business goals.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering with a strong focus on AI/ML.
  • Expert proficiency in Python, TensorFlow, PyTorch, and C++.
  • Proven track record of designing scalable distributed systems.
  • Strong leadership skills with experience managing high-performance engineering teams.
  • Familiarity with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems Cloud Computing AWS GCP Docker Kubernetes Leadership

Ready to Take This Challenge?

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