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Future Tech AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Future Tech AI Architect to lead the development of our next-generation AI infrastructure designed for deployment by 2026. In this high-impact role, you will bridge the gap between theoretical research and scalable enterprise engineering, ensuring our solutions remain at the forefront of technological innovation.

At Nexus Future Systems, we are building the backbone of tomorrow's digital world. You will work on cutting-edge projects involving Generative AI, Autonomous Agents, and Predictive Analytics. If you are passionate about shaping the technological landscape of the coming decade and possess a deep understanding of AI scalability, we want to hear from you.

Responsibilities

  • Architect and deploy scalable AI infrastructure with a focus on 2026 readiness and long-term scalability.
  • Lead research and development initiatives in Large Language Models (LLMs) and generative algorithms.
  • Design MLOps pipelines to automate model training, evaluation, and deployment.
  • Collaborate with product managers and engineers to integrate AI solutions into core business workflows.
  • Optimize neural network architectures for high-performance inference in edge and cloud environments.
  • Define technical roadmaps and establish best practices for future-proof AI development.
  • Mentor and guide a team of data scientists and machine learning engineers.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in machine learning engineering, deep learning, or applied AI.
  • Expert proficiency in Python, PyTorch, and TensorFlow/Keras.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of MLOps tools and version control systems (Git).
  • Proven track record of delivering innovative technical solutions in a fast-paced environment.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow MLOps AWS Cloud Architecture Neural Networks Generative AI Large Language Models

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