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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are a pioneering force in the tech industry, dedicated to defining the landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our next-generation artificial intelligence initiatives. In this role, you will bridge the gap between theoretical AI research and practical, scalable engineering solutions that drive business value.

As a key member of our R&D division, you will shape the architectural direction of our neural networks and autonomous systems. You will work in a dynamic, fast-paced environment where innovation is not just encouraged—it is the standard.

Responsibilities

  • Architect & Deploy: Design and implement robust, scalable AI infrastructure and machine learning pipelines.
  • Strategic Leadership: Define the technical roadmap for AI adoption, aligning with our 2026 product vision.
  • Model Optimization: Improve model accuracy, efficiency, and latency using cutting-edge optimization techniques.
  • Collaboration: Partner with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
  • Mentorship: Guide junior engineers and researchers in best practices for machine learning engineering.

Qualifications

  • Experience: 5+ years of experience in software engineering with a focus on AI/ML systems.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Architecture: Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture Distributed Systems Kubernetes AWS GCP

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