Pay not posted
Forward Deployed Engineer - AI Solutions (Gracenote Division)
Published · Updated
Pay not postedRemote, hiring in Oregon
Leads technical pre-sales and implementation for Gracenote’s API and AI products, helping enterprise clients integrate entertainment metadata into LLM-powered discovery experiences.
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At a glance
Posted base pay
Not posted
Median $184K
Typical not stated FDE payMiddle 50% of 69 postings$161K–$210KThe work
Builds what the customer runs
Balance
- Mostly building
- Mixed
- Mostly pre-sales or support
Project stages
- Pre-sales
- Proof of concept
- Implementation
- Operations (not covered)
Travel Up to 40%
- Coding
- Prototypes and scripts
- Builds for
- External customers
- Role
- Individual contributor
What they ask for
Tools
Less common in FDE jobs
- Coding work: Prototypes and scripts5%
- Covers pre-sales24%
- Fully remote30%
- Covers proofs of concept38%
Share of US FDE postings that state each fact.
What you’ll do
- Lead customer discovery, technical consultation, and AI solution proof of concepts.
- Build focused AI agents that demonstrate Gracenote Video MCP Server capabilities.
- Recommend integration architectures and validate new MCP tools as Customer Zero.
- Guide client developers through implementation, including JSON-RPC 2.0 integration.
What you’ll bring
- Practical experience with MCP tooling, agent deployment, JSON-RPC 2.0, and AWS Cognito.
- Experience building with Python or TypeScript/Node.js and integrating B2B enterprise APIs.
- Experience with agent frameworks such as Google ADK, AWS Bedrock Agents, LangChain, or LlamaIndex.
- Knowledge of OAuth/OIDC, enterprise security, and data privacy requirements.
View posting at The Nielsen Company
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