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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Generative AI & 2026 Roadmap

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technical trajectory of our enterprise-grade AI solutions leading into 2026. At Nebula Future Systems, we are not just building AI; we are architecting the future of human-computer interaction.

In this pivotal role, you will spearhead the development of next-generation Generative AI models, ensuring they are scalable, secure, and ethically sound. You will work closely with C-suite executives to translate high-level strategic goals into technical roadmaps that drive market leadership.

Why Join Us?

  • Work on frontier AI technologies that will define the 2026 landscape.
  • Competitive compensation and equity packages.
  • Remote-first culture with global collaboration opportunities.

Responsibilities

  • Design and architect scalable Generative AI and Large Language Model (LLM) infrastructure for production environments.
  • Lead the technical roadmap for AI initiatives, ensuring alignment with 2026 business objectives and technological trends.
  • Collaborate with data scientists and software engineers to optimize model performance and reduce latency.
  • Implement best practices for MLOps, ensuring seamless deployment and monitoring of AI models.
  • Evaluate emerging AI frameworks (e.g., Transformers, Diffusion Models) and integrate them into the product stack.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of experience in software engineering with a focus on AI/ML systems.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience leading cross-functional teams in a high-growth startup environment.

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps Machine Learning Architecture Deep Learning

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