Sr Forward Deployed Engineer - AI Enablement

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

Senior Forward Deployed Engineer on the AI Enablement team, responsible for designing and deploying intelligent agentic systems and RAG applications, integrating LLMs with enterprise data and workflows, and enabling teams to adopt AI tools like Microsoft Copilot and Anthropic Claude. The role involves end-to-end ownership, collaboration with stakeholders, and driving quality through testing and evaluation.

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. Develop 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
  • LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
  • prompt engineering
  • productionizing applications
  • CI/CD pipelines
  • data ingestion and transformation
  • APIs
  • ETL pipelines
  • connectors
  • vector databases
  • retrieval strategies
  • communication across technical and non-technical audiences
  • collaborative, cross-functional environment

Nice to have

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

What the JD emphasized

  • end-to-end owner
  • AI enablement
  • enterprise data
  • enterprise guardrails
  • enterprise connectors
  • enterprise platforms

Other signals

  • building internal AI solutions
  • leveraging LLMs, RAG, agentic systems
  • AI enablement across the company
  • end-to-end ownership
  • delivering tools that make a real impact