Sr AI Enablement Engineer

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

Senior AI Enablement Engineer role focused on building and deploying internal AI solutions, including agentic systems and RAG applications, using LLMs and enterprise platforms like Microsoft Copilot and Anthropic Claude. The role involves end-to-end ownership, stakeholder collaboration, and guiding teams through their AI journey to improve productivity and streamline workflows within enterprise guardrails.

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

  • Python
  • AI-powered systems or products
  • data ingestion and transformation
  • vector databases
  • retrieval strategies
  • clear communication across technical and non-technical audiences
  • collaboration
  • fast learner
  • complex problem solving

Nice to have

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

What the JD emphasized

  • end-to-end owner
  • AI enablement
  • building agents
  • guiding others through their AI journey

Other signals

  • building internal AI solutions
  • leveraging large language models
  • retrieval-augmented generation (RAG)
  • agentic systems
  • enterprise platforms like Microsoft Copilot and Anthropic Claude
  • AI enablement across the company
  • designing and deploying custom AI agents
  • end-to-end owner