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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Roadmap)

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to define the landscape of Artificial Intelligence for the year 2026 and beyond? Nexus Dynamics is seeking a visionary Future-Ready AI Architect to lead our research and development initiatives. We are not just building software; we are architecting the foundational systems that will power the next generation of intelligent applications. If you thrive on solving complex, unstructured problems and have a passion for ethical AI, this is your opportunity to shape the future.

In this role, you will bridge the gap between theoretical machine learning research and scalable production systems. You will work closely with our quantum computing division to integrate advanced algorithms into our core infrastructure. Join a team that is redefining what is possible in tech.

Responsibilities

  • Design and implement cutting-edge neural network architectures optimized for 2026 computing paradigms, including neuromorphic computing.
  • Lead the architectural vision for our proprietary AI infrastructure, ensuring scalability, security, and ethical compliance.
  • Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Conduct rigorous performance tuning and optimization of large-scale language models (LLMs).
  • Stay ahead of industry trends, specifically focusing on AGI (Artificial General Intelligence) advancements relevant to the 2026 timeline.

Qualifications

  • Masters or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, AWS).
  • Proven track record of deploying AI models that handle high-volume, real-time data streams.
  • Strong understanding of AI ethics, bias mitigation, and regulatory compliance.
  • Experience with quantum computing concepts and hybrid quantum-classical algorithms is a major plus.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes AWS AI Ethics Distributed Systems Neural Networks

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