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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the solutions that will define the technological landscape of 2026? At Nebula Dynamics, we are building the infrastructure for tomorrow, today. We are seeking a visionary Senior AI Architect to lead our cutting-edge research and deployment teams. In this pivotal role, you will bridge the gap between theoretical artificial intelligence and scalable, production-grade systems. You will not just write code; you will define the architectural patterns that will drive our company's growth for the next decade. If you are passionate about Generative AI, Large Language Models, and the future of autonomous systems, we want to hear from you.

Responsibilities

  • Architect Scalable AI Systems: Design and implement robust, scalable machine learning pipelines capable of handling petabyte-scale data.
  • Lead Research & Development: Spearhead the exploration of novel AI architectures aimed at achieving breakthroughs for the 2026 roadmap.
  • Model Optimization: Engineer models that balance high performance with energy efficiency to reduce operational costs.
  • Technical Mentorship: Guide a team of talented engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Collaborate with product leadership to translate business goals into technical roadmaps and AI capabilities.
  • Code Review & Standards: Establish and enforce best practices for code quality, security, and deployment automation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a leadership or architect role.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, AWS).
  • AI Expertise: Proven track record of designing and deploying Large Language Models (LLMs) or Generative AI applications.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems in high-pressure environments.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Kubernetes AWS Generative AI System Design Cloud Architecture

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