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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect | 2026 Roadmap

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Future-Ready AI Architect to spearhead the development of our proprietary technologies targeting the 2026 deployment horizon. At QuantumLeap Systems, we are not just building software; we are architecting the future of human-machine collaboration. You will define the technical strategy that will guide our product evolution over the next three years, ensuring scalability, security, and cutting-edge innovation.

In this role, you will bridge the gap between theoretical research and practical engineering, leading a team of elite engineers and data scientists. You will be responsible for establishing the architectural foundations that will support our next generation of autonomous systems.

Responsibilities

  • Define the 2026 Strategic Roadmap: Collaborate with C-level executives to outline the technical milestones and architectural shifts required to lead the market by 2026.
  • Lead High-Impact R&D: Spearhead research initiatives into emerging technologies such as Generative AI, Quantum-ready algorithms, and Edge Computing.
  • Architect Scalable Systems: Design and implement robust, fault-tolerant microservices architectures capable of handling exabyte-scale data processing.
  • Technical Governance: Establish coding standards, review architectural blueprints, and ensure adherence to best practices across all engineering squads.
  • Talent Development: Mentor senior engineers and foster a culture of continuous innovation and technical excellence within the organization.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years in a leadership role managing large-scale distributed systems.
  • Tech Stack: Deep expertise in Python, Go, or Rust; proven experience with cloud-native architectures (AWS, GCP, or Azure) and Kubernetes.
  • Future Tech Fluency: Strong understanding of AI/ML infrastructure, large language models (LLMs), and the ethical implications of autonomous systems.
  • Strategic Vision: Demonstrated ability to translate abstract future trends into concrete technical roadmaps and product features.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Kubernetes Python Go Strategic Planning Leadership R&D

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