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Senior AI Architect - San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of our next-generation intelligent systems for the year 2026. Nexus Horizon is at the forefront of integrating advanced artificial intelligence into enterprise solutions. You will be responsible for designing scalable, robust, and secure machine learning architectures that define the future of our technology stack. If you are passionate about pushing the boundaries of what is possible in AI and want to lead a team of elite engineers, this is your opportunity to shape the landscape of technology.


Why Join Us?

  • Work with cutting-edge technologies including Large Language Models (LLMs) and Generative AI.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Opportunity to mentor and grow a world-class engineering team.

Responsibilities

  • Lead the architectural design and implementation of end-to-end AI/ML solutions, ensuring high performance and scalability.
  • Define the technical vision for our 2026 roadmap, aligning AI capabilities with business objectives.
  • Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI models into production environments.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Optimize existing models for speed, accuracy, and resource efficiency.
  • Stay abreast of the latest advancements in AI research and implement relevant innovations.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field.
  • Minimum of 7 years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of MLOps, data pipelines, and model deployment strategies.
  • Proven track record of leading technical projects from concept to production.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Deep Learning MLOps SQL NoSQL

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