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Information Technology 🏒 Full Time ⭐️ Verified

2026 Strategic AI Architect

FutureScale Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Mei 2026
Deadline
28 Mei 2027

Job Description

Shape the Future of Intelligence.

FutureScale Inc. is pioneering the next generation of autonomous systems. We are seeking a visionary 2026 Strategic AI Architect to lead our research and development division. In this role, you will design the foundational architectures for our upcoming flagship AI products, bridging the gap between theoretical AI breakthroughs and scalable production systems.

You will work in a high-performance environment where innovation is the currency. If you are passionate about the future of technology and have a knack for solving complex engineering challenges, we want to hear from you.

Responsibilities

  • Lead Architecture Design: Spearhead the design and implementation of large-scale AI and machine learning systems optimized for the 2026 landscape.
  • R&D Leadership: Identify emerging technologies and trends to integrate into our product roadmap, specifically focusing on generative models and neural networks.
  • System Scalability: Ensure all AI solutions are scalable, secure, and capable of handling high-velocity data streams.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and software engineers to translate business goals into technical requirements.
  • Talent Mentorship: Build and mentor a world-class engineering team, fostering a culture of continuous learning and excellence.
  • Performance Optimization: Continuously analyze and optimize model performance to ensure low latency and high accuracy.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior architecture or lead role.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Cloud & Infrastructure: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Proven track record of solving complex technical problems and delivering innovative solutions under tight deadlines.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Artificial Intelligence System Architecture Cloud Computing

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