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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

FutureScale Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our cutting-edge technology division. At FutureScale Inc., we are not just building for today; we are architecting the landscape for 2026. You will be at the forefront of defining how artificial intelligence integrates into our core products, ensuring our infrastructure is scalable, secure, and future-proof.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in AI. If you have a passion for building systems that define the future, we want to meet you.

Responsibilities

  • Architect Future-Proof Systems: Design and oversee the implementation of robust AI architectures aligned with our 2026 strategic roadmap.
  • Lead R&D Initiatives: Spearhead research and development in Generative AI, Large Language Models (LLMs), and predictive analytics.
  • Technical Mentorship: Guide a high-performing team of data scientists and engineers, fostering a culture of innovation and excellence.
  • Optimize Infrastructure: Enhance existing machine learning pipelines for improved scalability, latency, and cost-efficiency.
  • Strategic Collaboration: Partner with product and business units to translate complex AI capabilities into tangible user value.
  • Security & Compliance: Ensure all AI implementations adhere to the highest standards of data privacy and security.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in software engineering and machine learning, with at least 2 years in a senior or architectural role.
  • Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow. Strong understanding of deep learning frameworks and NLP.
  • Cloud Proficiency: Proven experience designing scalable solutions on major cloud platforms (AWS, GCP, or Azure).
  • Problem Solving: Exceptional ability to solve complex technical challenges and make data-driven architectural decisions.
  • Communication: Excellent verbal and written communication skills, capable of articulating technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Cloud Architecture Generative AI NLP MLOps

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