Forward Deployed Engineer - AI Solutions (Gracenote Division)

Qualifications

• Technical Mastery: Solid grasp of agent creation and agentic deployment frameworks and MCP tooling, specifically how LLMs utilize MCP primitives (Tools, Resources, Prompts), JSON-RPC 2.0, and AWS ecosystem with specific, practical experience leveraging AWS Cognito for identity management, user authentication, and secure API access control.
• Agentic AI & Orchestration: Experience designing, deploying, or observing multi-step AI agents using one or more of the following frameworks: Google ADK, AWS Bedrock Agents, LangChain, or LlamaIndex preferred. Deep understanding of tool chaining (MCP), system prompt engineering, function calling across major LLMs (Gemini, Claude, GPT), and step-level tracing or response evaluation.
• Consultative Expertise: Proven ability to navigate complex enterprise security (OAuth/OIDC) and data privacy requirements while effectively communicating technical solutions to diverse audiences, from C-level executives to engineering teams.
• Experience: Strong experience in Python or TypeScript/Node.js to support PoCs and integration with B2B enterprise APIs. Experience connecting MCP clients and servers to managed enterprise foundation models via AWS Bedrock, Google Cloud Vertex AI, Microsoft Azure AI / Foundry, etc. Familiarity with large-scale structured datasets, content discovery architectures, and search & recommendations engine mechanics. Familiarity with the CTV/Streaming and the entertainment ecosystem is extremely welcome
• Customer interaction skills: Proven ability to bridge the gap between complex LLM/MCP architectures and business objectives, leveraging strong consultative leadership and stakeholder management skills to guide discovery, execute Proof of Concepts (PoCs), and effectively communicate technical strategy to audiences ranging from C-suite executives to engineering teams.
• Travel: Ability to travel to customer sites globally up to 40% of the time to conduct workshops, discovery sessions, and on-site technical support.