ByteDance

2 days ago

Senior Platform Architect - Enterprise AI Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design and drive the enterprise platform roadmap for AI agent capabilities, AI harness platforms, and RAG-based knowledge systems. Lead architecture for agent orchestration, tool integration, workflow automation, memory, evaluation, observability, and governance. Partner with product, engineering, data, security, and business teams to translate high-value use cases into production, and provide technical leadership on reliability, scalability, cost, privacy, security, compliance, and responsible AI. Mentor engineers through reviews and deep dives.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Lead the design, development, and enterprise adoption of AI agent capabilities, AI harness platforms, and RAG-based knowledge base systems.
•Define technical architecture and roadmap for agent orchestration, tool integration, workflow automation, memory, evaluation, observability, and governance.
•Establish architecture principles, design patterns, best practices, and governance standards for enterprise AI agent and RAG application development.
•Provide technical leadership across AI reliability, scalability, observability, cost optimization, privacy, security, compliance, and responsible AI.
•Partner with cross-functional teams to identify high-value AI use cases and mentor engineers through architecture reviews and implementation guidance.

Key Requirements

•BS degree in Computer Science or similar technical field, or equivalent practical experience.
•Experience working with two or more of: web application development, Unix/Linux, distributed and parallel systems, networking systems, and large software systems.
•5+ years of software development experience, preferably with Golang or Python.
•Experience driving enterprise AI adoption across multiple business units or internal product teams.
•Ability to combine architect-level technical ownership with product management responsibilities, including strong AI system tradeoff understanding (cost, latency, accuracy, reliability, safety, UX).

Experience:5+ yearsEnterprise AILLM ecosystemsAI platformsRAG

Education:Bachelor's in Computer Science

Skills:Product management thinkingTechnical leadershipMentoringStakeholder alignmentArchitecture reviews

Tech Stack:GolangPythonUnix/LinuxDistributed systemsParallel systemsNetworkingRAGLLMsAgent orchestrationTool integrationWorkflow automationMemoryObservabilityGovernanceVector databasesEmbedding modelsReranking modelsModel routingEvaluation toolingSemantic search

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

Senior Platform Architect - Enterprise AI Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Lead the design, development, and enterprise adoption of AI agent capabilities, AI harness platforms, and RAG-based knowledge base systems.
•Define technical architecture and roadmap for agent orchestration, tool integration, workflow automation, memory, evaluation, observability, and governance.
•Establish architecture principles, design patterns, best practices, and governance standards for enterprise AI agent and RAG application development.
•Provide technical leadership across AI reliability, scalability, observability, cost optimization, privacy, security, compliance, and responsible AI.
•Partner with cross-functional teams to identify high-value AI use cases and mentor engineers through architecture reviews and implementation guidance.

Key Requirements

•BS degree in Computer Science or similar technical field, or equivalent practical experience.
•Experience working with two or more of: web application development, Unix/Linux, distributed and parallel systems, networking systems, and large software systems.
•5+ years of software development experience, preferably with Golang or Python.
•Experience driving enterprise AI adoption across multiple business units or internal product teams.
•Ability to combine architect-level technical ownership with product management responsibilities, including strong AI system tradeoff understanding (cost, latency, accuracy, reliability, safety, UX).

Experience:5+ yearsEnterprise AILLM ecosystemsAI platformsRAG

Education:Bachelor's in Computer Science

Skills:Product management thinkingTechnical leadershipMentoringStakeholder alignmentArchitecture reviews

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn