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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (Class of 2025) - San Francisco

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to architect the future of Artificial Intelligence? Nexus Future Systems is looking for a visionary Senior AI Architect to join our elite team in San Francisco. As we prepare for the 2025 technology landscape, we need a technical leader who understands the depth of scalable, ethical AI systems.

In this role, you will not just write code; you will define the architectural standards that will drive our next-generation products. We offer a competitive package and a chance to work on projects that matter.

Responsibilities

  • Lead System Architecture: Design and implement scalable, high-performance AI infrastructure and machine learning pipelines.
  • Model Deployment: Spearhead the research, development, and deployment of Large Language Models (LLMs) and Deep Learning frameworks.
  • Technical Strategy: Collaborate with C-suite executives to translate business goals into technical roadmaps for the 2025 vision.
  • Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Cloud Optimization: Manage and optimize cloud resources on AWS and Azure to ensure cost-efficiency and high availability.
  • Code Quality: Enforce rigorous code reviews and best practices across the engineering organization.

Qualifications

  • Education: Master’s degree in Computer Science, AI, or a related field (PhD preferred).
  • Experience: 7+ years of experience in software engineering and machine learning architecture.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Cloud Skills: Strong experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Leadership: Proven track record of leading cross-functional teams and managing complex technical projects.
  • Communication: Ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Kubernetes Cloud Architecture Leadership Data Science

Ready to Take This Challenge?

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