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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the Future of Intelligence

Chronos Dynamics is at the forefront of the Project 2026 initiative, a groundbreaking effort to deploy autonomous cognitive systems that redefine human-machine interaction. We are seeking a visionary Senior AI Architect to lead the technical strategy, design scalable neural architectures, and oversee the deployment of next-generation AI models.

In this role, you will not just build software; you will architect the brain of the future.

Responsibilities

  • Architectural Strategy: Design and implement the core infrastructure for Project 2026, focusing on scalability, security, and low-latency inference.
  • Model Research & Development: Lead the research and optimization of Large Language Models (LLMs) and multimodal AI systems.
  • Team Leadership: Mentor a high-performing team of machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Technical Roadmap: Define the technical roadmap for Project 2026, ensuring alignment with business goals and industry standards.
  • System Integration: Collaborate with cross-functional teams (DevOps, Security, Product) to integrate AI models into production environments seamlessly.
  • Performance Optimization: Drive initiatives to reduce computational costs and improve model accuracy and efficiency.

Qualifications

  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior leadership or architectural role.
  • Core Skills: Expert proficiency in Python, C++, and deep learning frameworks (PyTorch or TensorFlow).
  • System Design: Strong understanding of distributed systems, cloud architecture (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
  • Industry Knowledge: Deep understanding of NLP, transformers, and state-of-the-art AI methodologies.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems Cloud Computing NLP Leadership

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