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Lead AI Architect - 2026 Initiative

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Architecting the Infrastructure of Tomorrow

Are you ready to shape the future of urban intelligence? FutureCore Systems is looking for a visionary Lead AI Architect to spearhead the 2026 Initiative—a groundbreaking project dedicated to deploying next-generation autonomous systems and smart city infrastructure. In this high-impact role, you will define the technical roadmap for cutting-edge AI models that will redefine urban living.

We are seeking a thought leader who combines deep technical expertise with the ability to drive complex engineering strategies in a fast-paced, innovative environment.

Responsibilities

  • System Architecture: Design and oversee the end-to-end architecture for the 2026 autonomous system stack, ensuring high availability, scalability, and fault tolerance.
  • AI Model Optimization: Lead the optimization of Large Language Models (LLMs) and computer vision systems to meet the rigorous performance benchmarks of 2026 infrastructure.
  • Technical Leadership: Mentor a cross-functional squad of data scientists and engineers, fostering a culture of innovation, code excellence, and continuous learning.
  • Strategic Roadmapping: Define the technical vision and roadmap for the 2026 initiative, aligning engineering output with long-term business goals.
  • Rapid Prototyping: Rapidly prototype and validate new technologies, moving concepts from research to production in a high-velocity environment.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a Lead Architect, Principal Engineer, or similar strategic role.
  • Technical Stack: Proficiency in Python, C++, TensorFlow/PyTorch, and Kubernetes.
  • System Design: Proven track record of designing complex distributed systems at massive scale.
  • Emerging Tech: Deep understanding of emerging technologies relevant to 2026, such as Edge AI, Quantum Computing interfaces, and Synthetic Data generation.

Required Skills

Python C++ TensorFlow PyTorch Kubernetes System Design Machine Learning AI Architecture Distributed Systems Edge Computing Smart City

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