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Senior AI Architect

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the Future of Intelligence
Nexus Innovations is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI Architect to join our elite team in San Francisco. In this role, you will be at the forefront of developing autonomous systems that will define the technological landscape of 2026 and beyond. We value innovation, scalability, and a deep understanding of machine learning architectures.

Why Join Us?
β€’ Work on cutting-edge projects that impact millions globally.
β€’ Competitive compensation and significant equity package.
β€’ Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design & Architect: Lead the end-to-end architecture of AI models, ensuring high performance, scalability, and fault tolerance in production environments.
  • Research & Development: Stay ahead of industry trends to implement state-of-the-art algorithms and deep learning frameworks.
  • Deployment: Oversee the deployment of ML models into production environments using advanced CI/CD pipelines and containerization.
  • Team Leadership: Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.
  • Data Strategy: Collaborate with data scientists to optimize data pipelines and feature engineering processes for maximum efficiency.
  • Strategic Vision: Contribute to the long-term roadmap for AI integration, specifically targeting the technological milestones of 2026.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning and AI engineering, with at least 2 years in a leadership or architectural role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Cloud: Strong experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems with data-driven solutions.
  • Communication: Excellent ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Kubernetes Scikit-learn Natural Language Processing Computer Vision

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