Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are defining the future of intelligence. Nebula Dynamics is seeking a visionary Senior AI Architect to spearhead our technology roadmap leading into 2026. In this role, you will bridge the gap between theoretical research and scalable engineering, building the next generation of generative AI systems that will power industries worldwide.

Working from our heart in San Francisco, you will lead a team of elite engineers and researchers to solve complex problems in Natural Language Processing, Computer Vision, and Reinforcement Learning. If you are passionate about shaping the technological landscape of the future, we want to hear from you.

Responsibilities

  • Architect Design: Design and implement robust, scalable, and secure AI infrastructure aligned with our 2026 strategic vision.
  • Model Development: Lead the end-to-end lifecycle of machine learning models, from data ingestion and feature engineering to training, validation, and deployment.
  • R&D Leadership: Conduct cutting-edge research to integrate the latest advancements in Deep Learning into production environments.
  • Performance Optimization: Drive initiatives to reduce model latency and optimize inference costs for high-volume applications.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaboration: Partner with product managers and stakeholders to translate business requirements into technical AI solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in software engineering with a focus on Machine Learning.
  • Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Specialization: Deep expertise in Large Language Models (LLMs), Transformers, and Generative AI architectures.
  • Infrastructure: Strong experience with cloud platforms (AWS/GCP/Azure) and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes Generative AI LLMs

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All