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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Shaping the Future (2026)

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technological landscape for the year 2026? Nebula Dynamics is seeking a visionary Senior AI Architect to lead our next-generation research initiatives. We are not just building software; we are engineering the future of human-machine interaction.

In this role, you will spearhead the development of scalable, autonomous AI systems designed to operate in complex, real-world environments. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and predictive analytics, this is your opportunity to join a team that is redefining the industry standard.

Why Join Nebula Dynamics?

  • Work on cutting-edge projects that will define the 2026 tech roadmap.
  • Competitive equity package and benefits.
  • Collaborate with world-class engineers and researchers.

Join us in building the intelligent infrastructure of tomorrow.

Responsibilities

  • Design and architect end-to-end AI solutions capable of scaling to 2026 enterprise demands.
  • Lead the research and implementation of state-of-the-art Deep Learning models, including Transformers and GANs.
  • Optimize model inference and training pipelines for maximum efficiency and low latency.
  • Mentor a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers to translate complex technical concepts into actionable business strategies.
  • Ensure data security, compliance, and ethical AI practices across all development cycles.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 6+ years of professional experience in AI/ML engineering or data science.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and MLOps.
  • Proven track record of deploying production-grade machine learning models.
  • Strong communication skills with the ability to articulate complex technical ideas to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps AWS Machine Learning Deep Learning NLP Distributed Systems

Ready to Take This Challenge?

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

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