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Information Technology 🏢 Full Time ⭐️ Verified

Principal Architect, 2026 AI Initiatives

FutureScale Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Step into the future with FutureScale Tech. We are seeking a visionary Principal Architect for our 2026 AI Initiatives to lead our enterprise transformation strategy. As we approach the technological horizons of 2026, your expertise will guide our most critical migrations to next-generation artificial intelligence platforms. Based in the heart of San Francisco, you will collaborate with global engineering teams to build scalable, ethical, and revolutionary AI infrastructure that powers the next decade of innovation.

Responsibilities

  • Architect and design comprehensive AI frameworks aligned with the company's 2026 technological roadmap.
  • Lead cross-functional teams of data scientists, engineers, and product managers to deliver scalable AI solutions.
  • Evaluate emerging technologies and integrate cutting-edge advancements into our existing enterprise architecture.
  • Develop technical blueprints and high-level design documents for complex AI integrations.
  • Ensure all architectural decisions comply with ethical AI guidelines, data privacy laws, and security standards.
  • Present strategic technical recommendations to the C-suite and key stakeholders to drive business growth.
  • Identify and mitigate technical risks associated with large-scale cloud and AI migrations.

Qualifications

  • 10+ years of proven experience in enterprise architecture, cloud computing, or AI infrastructure.
  • Deep expertise in machine learning operations (MLOps), neural networks, and large language models (LLMs).
  • Strong proficiency in modern programming languages such as Python, Go, or Rust.
  • Demonstrated success in leading large-scale, future-facing digital transformation projects.
  • Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience with major cloud providers (AWS, Azure, or GCP) and modern containerization (Kubernetes, Docker).

Required Skills

AI Strategy Cloud Architecture Machine Learning Enterprise Architecture Strategic Planning Python MLOps Leadership

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