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Senior AI Architect (2026 Roadmap)

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join the vanguard of the technological revolution. QuantumLeap Systems is seeking a visionary Senior AI Architect to spearhead the infrastructure for our upcoming 2026 AI Core platform. In this pivotal role, you will define the architectural standards that will define the next generation of artificial intelligence applications, ensuring scalability, security, and groundbreaking performance.


We are not just building software; we are architecting the future. If you are passionate about pushing the boundaries of what is possible and thrive in a high-performance, innovative environment, we want to hear from you.

Responsibilities

  • Lead the 2026 Roadmap: Define and execute the technical architecture for the 2026 AI Core, aligning with business goals and industry standards.
  • System Design: Design robust, scalable, and secure distributed systems using microservices and containerization technologies (Kubernetes, Docker).
  • Model Integration: Oversee the integration of advanced neural networks and machine learning models into production environments.
  • Team Leadership: Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
  • Performance Optimization: Analyze system bottlenecks and implement optimizations to ensure real-time processing capabilities.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and stakeholders to translate complex requirements into technical solutions.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically focused on AI/ML infrastructure.
  • Technical Skills: Deep expertise in Python, C++, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).
  • Soft Skills: Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Innovation: A proven track record of delivering innovative solutions in a fast-paced, agile environment.

Required Skills

Python Machine Learning Neural Networks System Architecture Kubernetes Docker Cloud Computing AI Engineering 2026 Roadmap TensorFlow PyTorch

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