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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (Generative AI)

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are building the future of intelligence for 2026 and beyond. Nebula Dynamics is seeking a visionary Senior AI Architect to lead our next-generation Generative AI initiatives. In this pivotal role, you will design and deploy state-of-the-art Large Language Models (LLMs) that will redefine how our users interact with technology. If you are passionate about the intersection of machine learning, deep learning, and scalable infrastructure, we want to talk to you.

Join a team of world-class engineers and researchers dedicated to pushing the boundaries of AI to shape the landscape of 2026.

Responsibilities

  • Architect & Deploy: Design and implement scalable LLM architectures, ensuring high availability and low latency in production environments.
  • Model Optimization: Fine-tune and optimize pre-trained models (e.g., GPT-4, Llama 3) for specific enterprise use cases to maximize performance and accuracy.
  • MLOps Pipeline: Build robust CI/CD pipelines for machine learning, automating training, validation, and deployment processes.
  • Research & Innovation: Stay at the forefront of AI research, implementing novel techniques in reinforcement learning and prompt engineering.
  • Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate technical requirements into user-facing features.
  • Ethical AI: Ensure all AI systems adhere to ethical guidelines and safety protocols regarding bias and fairness.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in software engineering, machine learning, or data science.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong experience with LLMs and transformers.
  • Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Exceptional ability to troubleshoot complex system issues and optimize large-scale datasets.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning LLMs PyTorch TensorFlow MLOps Docker Kubernetes AWS Cloud Architecture Natural Language Processing AI Research

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