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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are at the forefront of innovation, preparing to define the technological landscape of 2026. Nexus Future Tech is seeking a visionary Senior AI Architect to lead our research and development into the next generation of artificial intelligence. In this pivotal role, you will design scalable, ethical, and high-performance AI systems that will power our clients' digital transformation.

If you are passionate about the future of technology and want to shape the trajectory of AI for the coming decade, we want to hear from you.

Responsibilities

  • Architect and design scalable AI and machine learning infrastructure for enterprise-level applications.
  • Lead research initiatives to pioneer novel algorithms and models for the 2026 tech ecosystem.
  • Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
  • Oversee the full machine learning lifecycle, from data ingestion to model deployment and MLOps.
  • Ensure AI systems adhere to ethical guidelines, bias mitigation, and regulatory compliance standards.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software engineering, with a strong focus on AI/ML.
  • Deep proficiency in programming languages such as Python, TensorFlow, PyTorch, and Java.
  • Experience with distributed computing systems, cloud platforms (AWS/GCP/Azure), and MLOps tools.
  • Proven track record of delivering complex AI projects from concept to production.
  • Strong understanding of neural networks, deep learning, and natural language processing (NLP).

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Computing MLOps AWS GCP Neural Networks

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