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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future? 2026 Technologies is pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Senior AI Architect to lead the design and deployment of scalable machine learning systems that will define the industry standard for 2026 and beyond.

In this role, you will bridge the gap between theoretical AI research and production-grade software engineering. You will work with cutting-edge frameworks to build robust, fault-tolerant systems that power our global platform. If you are passionate about solving complex problems and want to leave a lasting impact on the technological landscape, we want to hear from you.

Responsibilities

  • System Architecture: Design end-to-end AI infrastructure, including data pipelines, model training environments, and deployment strategies for cloud-native applications.
  • Model Optimization: Collaborate with data scientists to optimize model performance, reduce latency, and improve inference accuracy at scale.
  • Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and establishing best practices for AI development.
  • Scalability: Ensure systems can handle high throughput and data volumes, implementing strategies for horizontal scaling and fault tolerance.
  • Collaboration: Partner with product managers and engineering teams to translate business requirements into technical roadmaps.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Infrastructure: Strong understanding of containerization (Docker/Kubernetes) and microservices architecture.
  • Problem Solving: Demonstrated ability to troubleshoot complex system issues and drive technical solutions from conception to deployment.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker Machine Learning System Design Cloud Architecture

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