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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect to spearhead our 2026 Strategic Initiative. At Nexus Future Labs, we are not just building software for today; we are engineering the infrastructure for tomorrow. In this high-impact role, you will define the roadmap for next-generation generative AI systems, ensuring our solutions remain at the forefront of technological innovation.


If you are passionate about pushing the boundaries of artificial intelligence and have a proven track record of architectural excellence, we invite you to shape the future with us.


Why Join Us?

  • Work on cutting-edge projects that will define the AI landscape in 2026 and beyond.
  • Competitive compensation package including equity options.
  • Flexible remote-first work environment.
  • Access to state-of-the-art computing resources and research tools.

Responsibilities

  • Architect and design scalable, high-performance AI models aligned with the 2026 strategic vision.
  • Lead a cross-functional team of data scientists and engineers in R&D initiatives.
  • Oversee the deployment of generative AI tools across enterprise solutions.
  • Establish best practices for ethical AI, data privacy, and system security.
  • Translate complex business requirements into robust technical solutions.
  • Stay ahead of industry trends, specifically regarding the evolution of AGI (Artificial General Intelligence).

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in machine learning engineering, with at least 5 years in a leadership or architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Strong background in distributed systems and cloud architecture (AWS/GCP).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow Cloud Architecture System Design Leadership AI Ethics

Ready to Take This Challenge?

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