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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Focus)

Nebula Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the next generation of artificial intelligence? Nebula Future Systems is seeking a visionary Senior AI Architect to lead our breakthrough projects in generative AI and autonomous systems. In this pivotal role, you will define the architectural blueprint for our 2026 roadmap, ensuring our solutions are scalable, secure, and revolutionary.

We are looking for a thought leader who not only understands the theory but can translate complex algorithms into production-ready, high-performance systems. You will collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation that defines the future of technology.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable AI systems, including large language models and neural networks, tailored for 2026 enterprise demands.
  • Research & Innovation: Stay at the forefront of AI advancements, researching cutting-edge techniques to integrate into our core products.
  • Model Optimization: Develop strategies to improve model inference speed, reduce latency, and optimize resource utilization on cloud and edge environments.
  • Team Mentorship: Guide a team of ML engineers and data scientists, conducting code reviews, architecture reviews, and fostering a culture of technical excellence.
  • Strategic Planning: Define the technical roadmap and mentorship strategies to ensure the team meets aggressive development milestones.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and C++. Strong proficiency with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Problem Solving: Demonstrated ability to solve complex, non-trivial technical problems in high-scale environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Machine Learning Artificial Intelligence System Design Cloud Architecture

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