Forward Deployed Engineer - AI Solutions (Gracenote Division)
Core
Lead technical pre-sales and implementation for AI and API products, specifically designing and deploying agentic solutions using Gracenote's Model Context Protocol (MCP) Servers to help B2B clients integrate metadata into LLM-powered discovery experiences.
Role type
Senior Product Solutions Architect (Pre-Sales & Implementation)
Builds
Single-purpose AI agents, proof of concepts (PoCs), and integration patterns for Gracenote Video MCP Server.
Domain
Media & Entertainment, Artificial Intelligence, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Python, TypeScript/Node.js, MCP (Model Context Protocol), JSON-RPC 2.0, AWS ecosystem (Cognito, Bedrock), Google ADK, LangChain, LlamaIndex, OAuth/OIDC, system prompt engineering, function calling
Preferred skills
Experience with Google Cloud Vertex AI, Microsoft Azure AI / Foundry, CTV/Streaming ecosystem
Technologies
AWS Bedrock, Google ADK, LangChain, LlamaIndex, AWS Cognito, JSON-RPC 2.0
Responsibilities
Lead discovery sessions and run proof of concepts for AI-based architecture; Design and deploy multi-step AI agents on agentic frameworks; Analyze customer environments to recommend optimal integration patterns; Guide developers through technical adoption and API integration; Influence product roadmaps based on customer requirements.
Seniority
Senior, hands-on IC with strategic engagement