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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

Nebula Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the technological roadmap for 2026. In this pivotal role, you will design scalable, robust artificial intelligence systems that will define the next generation of our enterprise solutions. You will bridge the gap between theoretical AI research and practical, high-performance engineering, ensuring our products remain at the cutting edge of innovation.

Why Join Us?

At Nebula Innovations, we don't just predict the future; we build it. You will work with a world-class team of engineers and data scientists, utilizing state-of-the-art tools to solve complex problems. This is an opportunity to leave a lasting legacy on our architecture.

Responsibilities

  • Architect and lead the development of scalable AI and machine learning infrastructure for the 2026 product roadmap.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical specifications.
  • Mentor senior and junior engineers, fostering a culture of technical excellence and continuous learning.
  • Evaluate and integrate emerging technologies (LLMs, Edge AI, Quantum-ready algorithms) to drive competitive advantage.
  • Ensure system reliability, security, and performance optimization at scale.
  • Define technical standards, coding conventions, and best practices for the AI division.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern data processing frameworks.
  • Strong proficiency in cloud architectures (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning Cloud Architecture Kubernetes Docker

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