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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Solutions

2026 Solutions
Seattle
Estimated Salary
USD 140.000 – USD 190.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect to join our elite engineering team at 2026 Solutions. Our mission is to pioneer the next generation of autonomous systems, and you will be instrumental in designing the core algorithms that define our roadmap for the year 2026.

In this role, you will bridge the gap between theoretical research and practical application, ensuring our AI infrastructure is scalable, robust, and ready for the future. You will work in a fast-paced environment, collaborating with world-class researchers and engineers to push the boundaries of what's possible.

Responsibilities

  • Design, architect, and implement scalable AI models and machine learning pipelines.
  • Lead the technical strategy for our 2026 product roadmap, focusing on deep learning and natural language processing.
  • Optimize existing models for speed and accuracy, reducing inference latency in production environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with product managers to translate complex business requirements into technical solutions.
  • Ensure data privacy, security, and ethical AI practices are upheld across all projects.
  • Conduct code reviews and drive best practices for CI/CD and DevOps.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale machine learning models to production.
  • Excellent problem-solving skills and ability to work in a cross-functional agile environment.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes Machine Learning Deep Learning Natural Language Processing System Architecture

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