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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: Shaping the 2026 Horizon

FutureScale Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of our next-generation technology stack. As we prepare for the transformative era of 2026, we need a leader who can bridge the gap between theoretical AI capabilities and practical, scalable infrastructure. You will be responsible for defining the architectural vision that will power our products for years to come.

In this role, you will work with a world-class team of data scientists, engineers, and product managers to build systems that are not only intelligent but also resilient, secure, and efficient. If you are passionate about the future of technology and want to leave a lasting impact, we want to hear from you.

Responsibilities

  • Design and implement scalable AI and machine learning architectures optimized for the 2026 technological landscape.
  • Lead the end-to-end development of large-scale systems, including data pipelines, model training, and deployment strategies.
  • Define and evangelize best practices for machine learning engineering, ensuring code quality and system reliability.
  • Collaborate with cross-functional teams to translate business requirements into technical roadmaps for the future.
  • Stay ahead of industry trends, specifically focusing on emerging AI paradigms expected to define 2026.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture and leadership.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Proven experience in designing high-availability, distributed systems at scale.
  • Familiarity with MLOps tools and practices, including model versioning and automated deployment.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes System Design MLOps Machine Learning Architecture Cloud Computing Deep Learning

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