Tech Lead Manager, Agentic AI Platform - TikTok PGC - TikTok PGC

TikTok

San Jose (CA)

On-site

USD 308,000 - 588,000

Full time

42 hours ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match
Paid parental leave
Disability insurance
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time

Job summary

TikTok is hiring a Tech Lead Manager for the Agentic AI Platform within the PGC team in San Jose. You will define the technical strategy, architect enterprise-grade AI agent platforms, and lead multidisciplinary teams to deliver scalable capabilities globally.

We seek hands-on leaders with strong AI systems knowledge, LLM expertise, and experience with agent frameworks such as LangChain, LlamaIndex, AutoGen, or Semantic Kernel.

Qualifications

  • Master's degree or above in CS, AI, Math, or related field.
  • Hands-on experience building production-grade AI systems.
  • Strong understanding of LLMs, including Transformers, SFT, RLHF, and major model families.
  • Experience with agent frameworks such as LangChain, LlamaIndex, AutoGen, or Semantic Kernel.

Responsibilities

  • Define the technical strategy and architecture for enterprise-grade Agentic AI platforms.
  • Design and build agent frameworks, multi-agent systems, workflow orchestration, and extensible tool ecosystems.
  • Develop evaluation frameworks and observability to improve agent performance.
  • Partner with infrastructure teams on data infra, security, and governance.
  • Own the Agentic AI platform roadmap and deliver scalable AI capabilities globally.
  • Collaborate with global ops and product teams to identify automation opportunities and drive impact.
  • Drive platform adoption, cross-functional collaboration, and execution of AI initiatives.
  • Lead multidisciplinary teams across AI/ML, Engineering, Platform Product, and Technical Operations.
  • Foster innovation and adoption of AI-native development practices.

Skills

AI systems experience
LLM technologies knowledge
Multi-agent frameworks understanding
Strong software engineering

Education

Master's degree or above in Computer Science, AI, Mathematics, or a related technical field

Tools

LangChain
LlamaIndex
AutoGen
Semantic Kernel

Job description

Tech Lead Manager, Agentic AI Platform - TikTok PGC - TikTok PGC

Location:

San Jose

Employment Type:

Regular

Job Code:

A224663

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Responsibilities

The TikTok Professionally Generated Content (PGC) team builds the product and platform capabilities that help professional creators grow, create, monetize, and expand their reach. We deepen support for high-value verticals such as music and short drama, enriching the range of content on the platform so users find high-quality, diverse professional work.Scaling a diverse, sustainable professional content ecosystem across global markets requires building for different content formats and business models, aligning creator incentives with audience value, and upholding copyright and content integrity standards.You will shape the creator support system and the content ecosystem, raising the quality of what people discover on TikTok.About the TeamThe TikTok PGC Ecosystem & Platform team focuses on building scalable AI platforms and intelligent applications to empower TikTok's global business. Our strategy centers on two key pillars: AI Democratization and Agentic AI Applications.AI Democratization focuses on developing AI platforms, infrastructure, data flywheels, and post-training toolchains to make advanced AI capabilities accessible across teams, enabling faster experimentation and innovation.Agentic AI Applications focuses on building AI agent frameworks, tool ecosystems, and automation infrastructure to streamline complex business workflows and improve operational efficiency at scale.By leveraging TikTok's large-scale data, infrastructure, and business ecosystem, we aim to pioneer the next generation of Agentic Enterprise solutions, enabling intelligent automation across global operations and products.

  • Define the technical strategy and architecture for enterprise-grade Agentic AI platforms, ensuring scalability, reliability, security, and performance.
  • Design and build agent frameworks, multi-agent systems, workflow orchestration, and extensible tool ecosystems.
  • Develop evaluation frameworks, harness engineering infrastructure, observability, and data flywheels to continuously improve agent performance and reliability.
  • Partner with infrastructure teams to advance AI-native architectures, including data infrastructure, security, and governance.
  • Own the Agentic AI platform roadmap, delivering scalable AI capabilities across TikTok's global business ecosystem.
  • Collaborate with global operations and product teams to identify automation opportunities, optimize workflows, and drive measurable business impact.
  • Drive platform adoption, cross-functional collaboration, and execution of strategic AI initiatives.
  • Lead multidisciplinary teams across AI/ML, Engineering, Platform Product, and Technical Operations.
  • Drive technical innovation, engineering excellence, talent development, and adoption of AI-native development practices.
Qualifications
Minimum Qualifications
  • Master's degree or above in Computer Science, AI, Mathematics, or a related technical field, with strong expertise in software engineering, distributed systems, or machine learning.
  • Hands-on experience building production-grade AI systems, agent platforms, or enterprise-scale AI infrastructure.
  • Strong understanding of LLM technologies, including Transformers, SFT, RLHF, and leading model families (GPT, Claude, Llama, Qwen).
  • Experience with agent frameworks such as LangChain, LlamaIndex, AutoGen, or Semantic Kernel, including customization and integration.
Preferred Qualifications
  • Experience with harness engineering, data annotation platforms, synthetic data pipelines, or AI training infrastructure.
  • Experience operating large-scale agent systems, including concurrency, fault tolerance, state management, and observability.
  • Expertise in advanced RAG, retrieval optimization, context engineering, and agent evaluation.
  • Open-source contributions or publications in AI/ML-related fields.
Job Information

The base salary range for this position in the selected city is $308000 - $588000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

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