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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Solutions Architect - 2026 Future Tech

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

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nebula Horizon Technologies is seeking a visionary Senior AI Solutions Architect to lead our next-generation initiatives. In this role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable enterprise solutions. We are looking for a forward-thinker to architect systems that are not just functional today, but resilient and revolutionary for the future.


As a key player in our mission to revolutionize the industry, you will collaborate with cross-functional teams to deploy cutting-edge machine learning models, ensuring data integrity and ethical AI practices. If you are passionate about the future of technology and want to be at the forefront of the AI revolution, we want to hear from you.

Responsibilities

  • Design and implement robust, scalable AI architectures for complex enterprise challenges.
  • Lead the technical strategy for Generative AI integration and Large Language Model (LLM) deployment.
  • Conduct deep-dive technical reviews and mentor junior architects and engineers.
  • Define the roadmap for AI infrastructure upgrades to meet 2026 security and performance standards.
  • Collaborate with product managers to translate business requirements into technical specifications.
  • Ensure compliance with data privacy regulations and ethical AI guidelines.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
  • 10+ years of experience in software engineering, with 5+ years specifically in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).
  • Deep understanding of MLOps, CI/CD pipelines, and containerization technologies.
  • Proven experience leading large-scale AI projects from conception to production.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Machine Learning System Design Cloud Computing AWS Azure MLOps TensorFlow PyTorch Generative AI Leadership

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