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Senior AI Architect (2026 Vision) - San Francisco

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

Job Description

We are at the forefront of the next industrial revolution. Nexus Future Labs is seeking a visionary Senior AI Architect to lead our groundbreaking initiatives for Project 2026. In this pivotal role, you will define the architectural backbone of our next-generation artificial intelligence systems, ensuring scalability, security, and innovation.

Join a team of world-class engineers and researchers dedicated to shaping the future of technology. You will have the autonomy to design complex systems, mentor high-performing teams, and drive the strategic vision that will define the AI landscape for the coming decade.

Responsibilities

  • Lead the architectural design and implementation of large-scale AI and Machine Learning systems for Project 2026.
  • Define and drive the technical roadmap, ensuring alignment with long-term business goals and industry standards.
  • Collaborate with cross-functional teams (Data Science, Engineering, Product) to translate business requirements into technical solutions.
  • Establish best practices for code quality, testing, and deployment to ensure high availability and performance.
  • Mentor and coach junior architects and engineers, fostering a culture of continuous learning and innovation.
  • Conduct architectural reviews and technical assessments to mitigate risks and optimize system efficiency.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership roles.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven experience designing scalable cloud-native architectures on AWS or GCP.
  • Strong understanding of MLOps, CI/CD pipelines, and data governance principles.
  • Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Distributed Systems MLOps Cloud Architecture System Design

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