Sr AI Solutions Architect

The Trade Desk The Trade Desk · Media · Bellevue, WA · Software Engineering

This role focuses on designing and deploying intelligent agentic systems and RAG applications that integrate LLMs with enterprise data, tools, and workflows. The Sr AI Solutions Architect will build and deploy agents using platforms like Microsoft Copilot and Anthropic Claude, contribute to RAG applications, and drive AI enablement across the company, aiming to improve productivity and streamline workflows.

What you'd actually do

  1. 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.
  2. Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
  3. Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
  4. Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
  5. Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.

Skills

Required

  • 8-10+ years of software engineering experience
  • 1-2+ years working on AI-powered systems or products
  • Knowledge of Python
  • Familiarity with data ingestion and transformation using APIs, ETL pipelines, and connectors
  • Familiarity with vector databases and retrieval strategies
  • Communicate clearly across technical and non-technical audiences
  • Collaborative, cross-functional environment experience

Nice to have

  • C#
  • SQL
  • TypeScript/React
  • Microsoft Copilot
  • Anthropic Claude
  • Copilot Studio
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • Azure AI Search

What the JD emphasized

  • enterprise guardrails
  • enterprise data
  • enterprise platforms

Other signals

  • design and deploy intelligent agentic systems
  • integrating large language models (LLMs) with enterprise data, tools, and workflows
  • Retrieval-Augmented Generation (RAG) applications
  • conversational agents
  • AI enablement across the company