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Senior AI Architect | Visionary 2026

Visionary 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are Visionary 2026, a pioneering force in next-generation artificial intelligence. We are looking for a visionary Senior AI Architect to lead the architectural design of our core machine learning infrastructure. If you are passionate about building scalable, ethical, and cutting-edge AI systems that will define the landscape of 2026 and beyond, we want to meet you.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering. You will oversee the deployment of Large Language Models (LLMs) and ensure our systems are robust, secure, and ready for enterprise-scale adoption.

Responsibilities

  • Design and architect end-to-end AI solutions, including data pipelines, model training, and inference engines.
  • Lead a team of data scientists and ML engineers to define technical roadmaps and best practices.
  • Optimize existing models for latency, throughput, and cost efficiency in cloud environments.
  • Collaborate with product managers to translate business requirements into technical specifications.
  • Ensure data governance, security compliance, and ethical AI standards are strictly maintained.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
  • Minimum of 7 years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience deploying and scaling LLMs and Generative AI applications.
  • Strong understanding of distributed systems, cloud architectures (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools and version control (Git).

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes MLOps Machine Learning Deep Learning Large Language Models Generative AI

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