Senior AI Platform Architect for Enterprise Systems

ByteDance

San Jose (CA)

In loco

USD 218.000 - 480.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

ByteDance seeks an architect-level contributor to lead the design and adoption of enterprise AI agent capabilities, AI harness platforms, and RAG-based knowledge bases across the organization. You will design architecture for agent orchestration, tool integration, workflow automation and governance, while partnering with product and security teams to scale AI across the enterprise.

The role requires deep technical architecture expertise, hands-on AI platform experience, and strong product

Competenze

  • BS degree in Computer Science, similar technical field of study or equivalent practical experience.
  • 5+ years software development experience preferably with Golang or Python.
  • Experience driving enterprise AI adoption across multiple business units or internal product teams.
  • Prior experience combining architect-level technical ownership with product management responsibilities.

Mansioni

  • Possess an in-depth understanding of Server Operations and Data Center platform development from a production point of view.
  • Define the technical architecture and roadmap for enterprise AI agent platforms, including AI harness and agent orchestration.
  • Partner with product, engineering, data, security, and business teams to identify high-value AI use cases and guide from concept to production.
  • Mentor engineers and platform teams through architecture reviews, deep dives, and implementation guidance.

Conoscenze

Enterprise AI platforms
AI governance
Agent orchestration
Memory/observability
Golang/Python
Web app development
Unix/Linux
Distributed systems
Networking
Large software systems

Formazione

BS in Computer Science or related field

Strumenti

Volcengine

Descrizione del lavoro

ByteDance seeks an architect-level contributor to lead the design and adoption of enterprise AI agent capabilities, AI harness platforms, and RAG-based knowledge bases across the organization. You will design architecture for agent orchestration, tool integration, workflow automation and governance, while partnering with product and security teams to scale AI across the enterprise.

The role requires deep technical architecture expertise, hands-on AI platform experience, and strong product

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