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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026 | San Francisco, CA

Nebula Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 210.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you a visionary engineer ready to shape the digital landscape of tomorrow? Nebula Dynamics is seeking a Senior AI Architect to lead Project 2026, our groundbreaking initiative in next-generation generative AI infrastructure. We are looking for a thought leader who can bridge the gap between theoretical AI research and scalable production systems.

In this pivotal role, you will design the architectural backbone for our upcoming AI ecosystem, ensuring high performance, security, and scalability. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to work on projects that define the future, we want to hear from you.

Responsibilities

  • Design and implement scalable, high-performance cloud-native architectures for large-scale AI workloads.
  • Lead the architectural strategy for Project 2026, ensuring alignment with business goals and technical innovation.
  • Optimize deep learning model inference pipelines for speed, latency, and cost-efficiency.
  • Collaborate with cross-functional R&D teams to integrate cutting-edge Machine Learning technologies.
  • Ensure robust data security, privacy, and compliance across all AI systems and infrastructure.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Drive the adoption of MLOps best practices to streamline model deployment and monitoring.

Qualifications

  • 10+ years of experience in software engineering, system architecture, or data science.
  • Master's degree or Ph.D. in Computer Science, AI, or a related technical field.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed systems.
  • Deep knowledge of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong background in Machine Learning Operations (MLOps) and infrastructure as code.
  • Proven track record of leading engineering teams through complex technical challenges.
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Required Skills

Python PyTorch Kubernetes Cloud Computing System Architecture Machine Learning MLOps Docker AWS AI

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