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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect - 2026 Readiness

FutureScale 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the Future of Technology

We are seeking a visionary Senior AI & Future Tech Architect to join FutureScale 2026. As we look toward the technological landscape of 2026 and beyond, we need a leader who can architect resilient, scalable, and groundbreaking systems. You will be at the forefront of integrating Generative AI, Quantum-ready infrastructure, and next-gen cloud strategies.

In this role, you won't just maintain existing systems; you will design the foundational architecture that will power our solutions for the next decade. If you are passionate about the future of computing and want to leave a legacy in the tech world, this is your opportunity.

Responsibilities

  • Architect Vision: Lead the end-to-end architectural design for systems scalable to meet 2026 demands, including AI integration and quantum computing preparation.
  • Future-Proofing: Identify emerging technologies and integrate them into our core infrastructure to ensure long-term competitive advantage.
  • System Optimization: Oversee the migration to next-gen cloud environments, ensuring high availability and performance.
  • Leadership: Mentor a team of senior engineers and drive technical excellence across the organization.
  • Cross-Functional Collaboration: Partner with product and data science teams to translate business goals into technical roadmaps.
  • Security & Compliance: Implement robust security protocols that meet the evolving standards of the industry.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership role focusing on AI and cloud infrastructure.
  • Technical Skills: Deep expertise in Python, Go, or Rust, with extensive experience in Kubernetes, Docker, and AWS/Azure.
  • AI Proficiency: Strong understanding of Large Language Models (LLMs), MLOps, and neural network architectures.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in a fast-paced environment.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Architecture Kubernetes AWS Generative AI MLOps Cloud Computing Leadership

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