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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the infrastructure for the next technological epoch. Nexus 2026 Technologies is seeking a visionary Senior AI Architect to lead our research and development division. In this pivotal role, you will not merely adapt to current trends; you will define the standards for artificial intelligence, generative systems, and quantum-ready algorithms that will dominate the landscape of 2026 and beyond.

If you are a technical leader passionate about solving unsolvable problems and architecting systems that scale to the future, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure designed for the demands of 2026.
  • Lead high-level research into Generative AI, Large Language Models (LLMs), and ethical AI frameworks.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure system security, data integrity, and compliance with emerging global regulations.
  • Prioritize the development of efficient, low-latency neural networks for real-time applications.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or data science.
  • Ph.D. or Master's degree in Computer Science, AI, or a related technical field.
  • Deep expertise in Python, C++, and major ML frameworks (TensorFlow, PyTorch, JAX).
  • Experience designing systems that bridge traditional computing with quantum algorithms (preferred).
  • Strong background in cloud architecture (AWS, Azure, or GCP) with a focus on serverless and edge computing.
  • Proven track record of leading technical teams through complex architectural transitions.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture AWS Azure System Design Leadership

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