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Sr AI Solutions Architect

Job in Seattle, King County, Washington, 98127, USA
Listing for: The Trade Desk
Full Time position
Listed on 2026-05-11
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

The Trade Desk is a global technology company and the world's leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet – from streaming TV and podcasts to mobile apps, news, and more.

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.

What we do

You’ll join a business 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.

What you’ll do
  • 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.
  • 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.
Who you are
  • You have a Bachelor's/Master's level degree in computer science or a related engineering 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 have knowledge of Python and are 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 are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
  • You communicate clearly across technical and non‑technical audiences and thrive in a collaborative, cross‑functional environment.
  • You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non‑discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock‑based compensation grants, which are awarded to employees based on company and individual performance.

The Trade Desk also offers other compensation such as variable incentive awards and commissions.…

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