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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join 2026, the visionary force redefining the boundaries of Artificial Intelligence and Machine Learning. We are building the technological infrastructure for the future, and we are seeking a Senior AI Architect to lead our research and engineering teams. If you are passionate about creating scalable, intelligent systems that solve complex global problems, this is your opportunity to make a lasting impact.

As a Senior AI Architect at 2026, you will be at the forefront of innovation, designing architectures that power next-generation neural networks and autonomous systems. You will work closely with cross-functional teams to translate cutting-edge research into production-ready solutions.

Responsibilities

  • Design, architect, and implement scalable machine learning pipelines and AI systems using modern cloud technologies.
  • Lead the research and development of novel algorithms to improve model accuracy, efficiency, and interpretability.
  • Collaborate with data scientists, engineers, and product managers to define technical roadmaps and drive project delivery.
  • Mentor junior engineers and architects, fostering a culture of technical excellence and innovation.
  • Optimize existing systems for performance, latency, and cost-efficiency in high-traffic environments.
  • Stay abreast of the latest advancements in AI research and apply them to our core product offerings.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in software engineering, with at least 3 years focused on AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, or other deep learning frameworks.
  • Deep understanding of distributed systems, cloud platforms (AWS/Azure/GCP), and containerization technologies (Docker/Kubernetes).
  • Experience with MLOps, model versioning, and deployment strategies (CI/CD pipelines).
  • Proven track record of leading high-performance teams and delivering complex projects on time.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Docker Kubernetes MLOps Machine Learning Artificial Intelligence Distributed Systems

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