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Senior AI Architect: 2026 Vision

Nebula Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Be the Architect of the Future. Nebula Horizon Technologies is pioneering the next generation of intelligent systems, and we are looking for a visionary Senior AI Architect to define our roadmap for 2026 and beyond. If you are passionate about pushing the boundaries of Artificial Intelligence and Machine Learning, this is your opportunity to lead high-impact projects in a world-class environment.


In this role, you will be at the forefront of technological innovation, designing scalable, robust, and cutting-edge AI solutions that will shape the industry standards for the coming decade. You will collaborate with top-tier engineers and data scientists to transform complex theoretical concepts into production-ready architectures.

Responsibilities

  • Define and execute the AI architecture strategy for the 2026 product roadmap, ensuring alignment with business goals.
  • Lead the design and implementation of advanced Machine Learning models, including Large Language Models (LLMs) and Computer Vision systems.
  • Oversee the full software development lifecycle (SDLC) for AI projects, from data ingestion to model deployment and MLOps.
  • Architect secure, cloud-native solutions using AWS or Azure, optimizing for performance, cost, and scalability.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Stay abreast of the latest advancements in AI research and evaluate their applicability to our product suite.

Qualifications

  • Master’s or PhD degree in Computer Science, Data Science, or a related technical field.
  • Minimum of 8 years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face libraries.
  • Proven experience in designing and deploying production-grade NLP and generative AI models.
  • Strong understanding of distributed systems, microservices architecture, and cloud infrastructure.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch NLP Machine Learning MLOps AWS Azure Cloud Architecture Distributed Systems Generative AI

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