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Senior Artificial Intelligence Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

The Future is Now. Nexus Future Labs is pioneering the architectural frameworks for the post-2025 era. We are seeking a visionary Senior Artificial Intelligence Architect to lead our 'Vision 2026' initiative. In this pivotal role, you will design the infrastructure for next-generation generative models, ensuring scalability, efficiency, and ethical AI integration. Join us in defining the standard for intelligent systems that will power the next decade of global innovation.


Why Join Us?

  • Work on groundbreaking AI projects with industry-leading researchers.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with quarterly in-person innovation summits.
  • Opportunity to shape the future of AI governance and ethics.

Responsibilities

  • Lead the architectural design and implementation of scalable AI infrastructure, focusing on Generative AI and Large Language Models.
  • Define the technical roadmap for 'Vision 2026,' ensuring alignment with long-term business goals and emerging technologies.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into robust technical solutions.
  • Establish best practices for model training, deployment, and MLOps pipelines to ensure high availability and performance.
  • Oversee the integration of AI ethics frameworks into the development lifecycle to mitigate bias and ensure responsible AI usage.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools (e.g., Kubeflow, MLflow).
  • Proven track record of designing distributed systems capable of handling petabyte-scale data.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning methodologies.
  • Exceptional leadership skills with a history of driving technical vision and influencing stakeholders at all levels.

Required Skills

Python TensorFlow PyTorch Machine Learning NLP MLOps Distributed Systems Cloud Architecture AI Ethics System Design Kubernetes Docker AWS GCP

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