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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect at 2026

2026
San Francisco
Estimated Salary
USD 160.000 – USD 210.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to shape the future of technology? 2026 is seeking a visionary Senior AI Architect to lead our next-generation artificial intelligence initiatives. We are building the infrastructure for tomorrow, and we need a technical leader who can translate complex algorithms into scalable, real-world solutions.

In this role, you will define the architectural strategy for our machine learning platforms, ensuring they are robust, secure, and ready for the demands of the year 2026 and beyond. If you thrive in a fast-paced, innovative environment and want to leave a lasting impact on the tech landscape, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI systems and infrastructure patterns.
  • Model Optimization: Lead the optimization of deep learning models to reduce latency and improve inference accuracy.
  • Technical Strategy: Collaborate with cross-functional teams to define technical roadmaps and standards for AI deployment.
  • Code Review & Mentorship: Provide technical guidance to junior engineers and conduct rigorous code reviews to ensure best practices.
  • Research & Development: Stay ahead of industry trends in AI, LLMs, and edge computing to integrate cutting-edge advancements.
  • Security & Compliance: Ensure all AI systems adhere to strict security protocols and data privacy regulations.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing systems (Kubernetes, AWS, GCP).
  • Problem Solving: Demonstrated ability to solve complex technical problems with elegant, efficient solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex concepts to diverse audiences.
  • Leadership: Proven track record of leading engineering teams and driving project success.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes AWS Cloud Architecture System Design Data Science

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