Solutions Engineer - Partnerships, Ads (Applied AI Focus)

Description

About The Team
We believe the services and community we've built can not only transform how people are inspired on the platform, but also transform how businesses from different industries, big or small, capture growth opportunities in this new era. TikTok is building out our Solutions Engineering team to help our external clients and partners to thrive on this journey. As a Solutions Engineer, you will not only have the opportunity to identify and solve challenges by architecting and building solutions but, more importantly, prioritize client success and work cross-functionally to help them reach their business objectives.

Applied AI Focus
Focuses on integrating, deploying, and scaling existing AI models to solve business problems. Design, deploy, and maintain scalable AI agents, Retrieval-Augmented Generation (RAG) pipelines, and system integrations that solve concrete business problems.
- Orchestration: Linking models to APIs, databases, and front-end interfaces.
- Agentic Workflows: Moving models beyond chat interfaces into systems capable of multi-step reasoning, tool-use, and task execution.
- RAG Systems: Designing vector databases, chunking strategies, and retrieval evaluation to ground LLMs in specific enterprise data.
- Model Evaluation & Tuning: Conducting fine-tuning and putting strong safety guardrails and evaluation frameworks in place.

Responsibilities
- Develop and maintain relationships with key strategic partners and agencies; build trust through your deep technical expertise of their platforms and customer needs.
- Collaborate cross-functionally with Partnerships and/or Agency Leads and Product teams to develop, manage and grow partner relationships with a focus on technical aspects (i.e. technical presentations, trainings, consultations, integration guides, and best practices).
- Be an expert on TikTok's API capabilities and partner offerings from technical lens. Advocate for API improvements and influence product roadmap with internal product teams to solve business challenges.
- Build and ship new products as well as end-to-end integrations in collaboration with Ads product engineering teams.
- Maintain subject matter expertise on marketing technology and API trends.

Requirements

Minimum Qualifications:
- Bachelor's degree or above, majoring in Computer Science or related fields.
- 3+ years of experience shipping production quality code
- Have experience building or shipping machine learning or LLM-powered products.
- Have worked on model evaluation, fine-tuning, or prompt design.
- Familiar with one or more general purpose programming languages including but not limited to: Python, Go, Java, C/C++.
- Ability to effectively communicate technical concepts to non-technical audiences and to collaborate with various sized stakeholder groups internally and externally.
- Demonstrated knowledge of API and backend systems design.

Preferred Qualifications
- Experience in advertising technology working with large volume data analytics.
- Solutions-oriented with strong problem-solving and development experience