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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nebula Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are pioneering the next generation of artificial intelligence infrastructure, and we are seeking a visionary Senior AI Architect to join our elite team in San Francisco. As we look toward 2026, our goal is to build systems that are not only scalable but also ethically aligned and future-proof. If you thrive in a high-impact environment and want to define the roadmap for the next era of technology, we want to hear from you.


Why Join Us?

At Nebula Innovations, we don't just follow trends; we set them. You will have the autonomy to design core components of our proprietary AI stack, collaborate with world-class researchers, and directly influence the trajectory of our products.

Responsibilities

  • Design and implement scalable AI infrastructure and machine learning pipelines tailored for 2026 technological standards.
  • Lead the architectural strategy for deploying large-scale neural networks across cloud environments.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Optimize existing algorithms for improved latency, accuracy, and energy efficiency.
  • Mentor junior engineers and conduct code reviews to maintain high standards of engineering excellence.
  • Research emerging technologies, including quantum computing applications and edge AI, to stay ahead of the curve.
  • Ensure system security, compliance, and data privacy in all AI implementations.

Qualifications

  • Master’s degree in Computer Science, Physics, or a related field (PhD preferred).
  • Minimum of 7 years of professional experience in software engineering, with at least 4 years specializing in AI/ML architecture.
  • Proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of distributed systems, data structures, and algorithmic complexity.
  • Proven track record of leading technical teams and managing complex projects from conception to deployment.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow AWS Kubernetes Machine Learning Distributed Systems Leadership Deep Learning

Ready to Take This Challenge?

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