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Visionary AI Architect (2026 Roadmap) | San Francisco, CA

NexaCore Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

We are pioneering the Vision 2026 initiative, a groundbreaking research and development program aimed at defining the future of artificial intelligence. We are seeking a visionary AI Architect to lead the design and implementation of autonomous, generative systems that will shape the digital landscape of the upcoming decade.

In this pivotal role, you will bridge the gap between theoretical machine learning and practical, scalable engineering. You will work alongside top-tier engineers, ethicists, and futurists to build the infrastructure required for next-generation intelligence.

Responsibilities

  • Architect and deploy scalable machine learning pipelines capable of handling exabyte-scale data.
  • Lead the research and implementation of novel generative AI models (LLMs, Diffusion, etc.) optimized for real-time inference.
  • Define technical roadmaps for the "2026" product suite, ensuring alignment with long-term strategic goals.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Establish best practices for AI ethics, safety, and bias mitigation in autonomous systems.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 7+ years of professional experience in AI/ML engineering, with a focus on large-scale system design.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of publishing research or delivering production-grade AI products.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps.
  • Exceptional problem-solving skills and the ability to thrive in ambiguous, high-stakes environments.

Required Skills

Python Machine Learning Deep Learning PyTorch Distributed Systems Cloud Computing AI Ethics MLOps

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