Sr AI Enablement Engineer
About the role
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising. This role is within the business engineering team, focusing on building internal AI solutions that support teams across The Trade Desk.
Responsibilities
- Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
- Contribute to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
- Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
- Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
- Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
- Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
- Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.
Requirements
- A Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
- 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
- Knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
- Excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
- Skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
- Communicates clearly across technical and non-technical audiences and thrives in a collaborative, cross-functional environment.
- Fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.
Qualifications
- Experience with large language models, retrieval-augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude.
- Familiarity with data ingestion and transformation using APIs, ETL pipelines, and connectors, and experience with vector databases and retrieval strategies.
- Ability to design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
- Experience contributing to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
- Experience building and deploying agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
- Experience building and iterating on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
- Experience delivering high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
- Experience driving quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
- Experience mentoring teammates and contributing to a culture of innovation, technical excellence, and continuous learning.
Skills
- Python
- C#, SQL, or TypeScript/React
- LangChain, LlamaIndex, Semantic Kernel
- Azure AI Search, vector databases, secure enterprise connectors
- Microsoft Copilot, Copilot Studio, Anthropic Claude
- Agentic systems
- Data ingestion and transformation using APIs, ETL pipelines, and connectors
- Vector databases and retrieval strategies
Benefits
- Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents.
- Retirement benefits such as a 401k plan and company match.
- Short and long-term disability coverage.
- Basic life insurance.
- Well-being benefits.
- Reimbursement for certain tuition expenses.
- Parenthood leave.
- Sick time of 1 hour per 30 hours worked.
- Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter.
- Around 13 paid holidays per year.
- Employee Stock Purchase Plan.
Pay
The base salary range for this role is $124,900—$228,900 USD. As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@ thetradedesk. com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.