Sr AI Engineer
Job in
Bellevue, King County, Washington, 98009, USA
Listed on 2026-06-02
Listing for:
The Trade Desk
Full Time
position Listed on 2026-06-02
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer, Data Scientist
Job Description & How to Apply Below
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world's brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges - from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you're driven to solve meaningful challenges, we'd love to meet you.
What we do
You'll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.
Our team also plays a key role in AI enablement across the company-supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.
As a Senior AI Engineer on this team, you'll be an end-to-end owner-collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We're a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.
What you'll do:
Some of the work that you will be doing to help us deliver on our mission is:
* Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like Lang Chain, Llama Index, and Semantic Kernel.
* Develop 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.
Who you are:
* You have a Bachelor's/Master's level degree in computer science or relevant engineering-related field or equivalent experience.
* You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
* You are proficient in Python and comfortable with additional languages such as C#, SQL, or Type Script/React.
* You're 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.
* You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., Lang Chain, Llama Index, Semantic Kernel) and prompt engineering using LLM APIs.
* You have experience product ionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
* You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and…
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