Sr Forward Deployed Engineer - AI Enablement

The Trade Desk • Seattle, WA

3d • $124,900 - $228,900

About The Position

The Trade Desk is seeking a Sr Forward Deployed Engineer on the AI Enablement team. This role involves end-to-end ownership of collaborating with stakeholders, identifying opportunities, and delivering AI tools to improve productivity and streamline workflows. The team leverages large language models (LLMs), retrieval-augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude. The team is described as nimble, fast-paced, and highly collaborative, focused on transforming how teams operate and driving value across the company.

Requirements

• Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• Proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• 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.
• Good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• Experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• Skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• Communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• Fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

Responsibilities

• 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.
• 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.

Benefits

• Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
• Retirement benefits such as a 401k plan and company match
• Short and long-term disability coverage
• Basic life insurance
• Well-being benefits
• Reimbursement for certain tuition expenses
• Parental leave
• Sick time of 1 hour per 30 hours worked
• Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter
• Around 13 paid holidays per year
• Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan
• Stock-based compensation grants
• Variable compensation-based incentives
• Commissions

What This Job Offers

• Job Type: Full-time
• Career Level: Senior