Enterprise AI Platform Architect

ByteDance; San Jose (CA); On-site; USD 218,000 - 480,000; Full time

Job summary

ByteDance seeks an architect-level contributor to lead design, development, and adoption of enterprise AI agent capabilities, AI harness platforms, and RAG knowledge bases across the organization.

This role requires deep technical architecture expertise, hands-on AI platform knowledge, and product management capabilities to identify business needs, shape platform capabilities, and drive enterprise-wide adoption.

Qualifications

• Must have 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.

Responsibilities

• 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 orchestration and governance capabilities.
• Partner with product, engineering, data, security, and business teams to identify high‑value AI use cases and guide them from concept to production.
• Establish architecture principles, design patterns, and governance standards for enterprise AI agent development.
• Provide technical leadership on AI reliability, scalability, observability, cost optimization, privacy, security, and responsible AI practices.
• Apply product management thinking to define platform vision, user journeys, adoption metrics, and rollout plans.
• Influence stakeholders to align AI platform capabilities with enterprise strategy.
• Mentor engineers through architecture reviews and prototypes.

Skills

Web application development

Unix/Linux environments

Distributed systems

Networking systems

Large software systems

Education

BS degree in Computer Science

Tools

Golang

Python

Job description

ByteDance seeks an architect-level contributor to lead design, development, and adoption of enterprise AI agent capabilities, AI harness platforms, and RAG knowledge bases across the organization.

This role requires deep technical architecture expertise, hands-on AI platform knowledge, and product management capabilities to identify business needs, shape platform capabilities, and drive enterprise-wide adoption.