Sr AI Enablement Engineer

About the role

The Trade Desk is a global technology company that helps advertisers reach audiences across the open internet. This role is within a business engineering team focused on building internal AI solutions that support teams across The Trade Desk.

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.
• 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.

Requirements

• A 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.
• Knowledge of 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.
• Skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• Communicates clearly across technical and non-technical audiences and thrives in a collaborative, cross-functional environment.
• Fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

Qualifications

• Experience with large language models, retrieval-augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude.
• Ability to design and deploy intelligent agentic systems that integrate large language models with enterprise data, tools, and workflows.
• Experience with data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiarity with vector databases and retrieval strategies.
• Strong communication skills and ability to collaborate effectively with both technical and non-technical stakeholders.
• Ability to learn quickly and adapt to new technologies and solve complex problems creatively.

Skills

• Python
• C#, SQL, or TypeScript/React
• Languages such as C#, SQL, or TypeScript/React
• Large language models, retrieval-augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude
• Data ingestion and transformation using APIs, ETL pipelines, and connectors
• Familiarity with vector databases and retrieval strategies
• Collaboration and communication skills
• Learning agility and problem-solving skills

Benefits

• Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents.
• Retailer 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.
• Parenthood 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.
• Employee Stock Purchase Plan.

Pay

The base salary range for this role is $124,900—$228,900 USD.

Schedule

Full-time position.