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Senior Generative AI Architect (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior Generative AI Architect to join Nexus Future Tech. As we prepare for the technological landscape of 2026, we are building the infrastructure that will define the next era of artificial intelligence. You will not just use existing tools; you will help define the next generation of Large Language Models (LLMs) and multimodal systems.

In this role, you will lead the research and deployment of scalable generative AI solutions, ensuring our products are ethical, efficient, and groundbreaking. If you are passionate about the future of AI and want to leave a legacy in the technology of 2026, we want to hear from you.

Why Join Us?

  • Work on cutting-edge GenAI research.
  • Shape the roadmap for AI in 2026 and beyond.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Lead the research and development of proprietary generative models and fine-tuning strategies.
  • Design and implement robust MLOps pipelines to ensure model scalability and reliability.
  • Collaborate with product teams to translate complex AI concepts into user-centric features.
  • Ensure all AI systems adhere to ethical guidelines, data privacy standards, and safety protocols.
  • Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 tech ecosystem.
  • Mentor junior engineers and data scientists on best practices in deep learning and NLP.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in machine learning, deep learning, or NLP.
  • Extensive experience with Python, PyTorch, TensorFlow, or JAX.
  • Strong proficiency in designing and deploying models on cloud platforms (AWS, GCP, or Azure).
  • Proven track record of publishing research or shipping high-impact AI products.
  • Deep understanding of transformer architectures and generative adversarial networks (GANs).

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLMs MLOps GPT Transformer Models AWS Cloud Computing

Ready to Take This Challenge?

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