Forward Deployed Engineer – AI Solutions

Nielsen

. Partner with Sales on Gracenote’s go-to-market strategy and demonstrate AI solution value to customer stakeholders .

Posted 11/4/2026full-timeRemote • United StatesMid-LevelSenior💰 $203,000 - $377,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI solution deployment, customer engagement, and integration of Gracenote's metadata tools. Proficient in developing AI agents and translating customer requirements into actionable technical documentation.

Highest-signal resume keywords

AI Agent CreationJSON-RPC 2.0AWS CognitoPython or TypeScript/Node.jsEnterprise API Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DeploymentMCP ToolingMulti-Step AI AgentsSystem Prompt EngineeringData Privacy RequirementsOAuth/OIDCLarge-Scale Structured DatasetsSearch and Recommendation MechanicsContent Discovery ArchitecturesStep-Level Tracing

Soft Skills

Communication to C-Level ExecutivesCustomer EngagementTechnical Adoption Guidance

Tools & Technologies

AWS BedrockGoogle Cloud Vertex AIMicrosoft Azure AIGracenote Video MCP ServerGoogle ADKLangChainLlamaIndex

Industry Keywords

B2B Enterprise APIsCTV/Streaming EcosystemEntertainment Ecosystem

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Partner with Sales on Gracenote’s go-to-market strategy and demonstrate AI solution value to customer stakeholders
Lead discovery sessions and understand customer use cases and AI-based architectures
Identify value propositions for improving customer discovery experiences with Gracenote metadata
Develop and run proofs of concept
Own customer engagement and adoption through contract signature
Design, build, and maintain focused AI agents demonstrating Gracenote Video MCP Server capabilities
Translate conversational search, catalog enrichment, and personalized recommendation workflows into prototypes
Deploy agents on frameworks such as those provided by Google or AWS
Analyze customer environments and recommend integration patterns
Map Gracenote tools and resources to customer-specific AI workflows
Act as “Customer Zero” to test and validate new MCP tools and features
Guide developers through technical adoption and provide code-level integration guidance
Document integration use cases and help customers use JSON-RPC 2.0 for API/server interaction
Represent customer needs in product roadmaps and translate requirements into product inquiries and technical documentation
Establish standardized SLAs and implementation best practices across Tier 1 and Tier 2 global accounts

Requirements

What you’ll need

Solid grasp of agent creation, agentic deployment frameworks, and MCP tooling
Understanding of LLM use of MCP primitives: Tools, Resources, and Prompts
Knowledge of JSON-RPC 2.0
Practical experience with AWS Cognito for identity management, user authentication, and secure API access control
Experience designing, deploying, or observing multi-step AI agents using Google ADK, AWS Bedrock Agents, LangChain, or LlamaIndex preferred
Deep understanding of MCP tool chaining
System prompt engineering and function calling across Gemini, Claude, and GPT
Step-level tracing or response evaluation experience
Experience with enterprise security requirements, including OAuth/OIDC
Experience navigating data privacy requirements
Strong experience in Python or TypeScript/Node.js
Experience integrating 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, or similar
Familiarity with large-scale structured datasets
Familiarity with content discovery architectures
Familiarity with search and recommendation engine mechanics
CTV/streaming and entertainment ecosystem familiarity welcomed but not required
Proven ability to communicate technical solutions to C-level executives and engineering teams
Ability to travel to customer sites globally up to 40% of the time

Benefits

Comp & perks

Comprehensive health and wellness plans
401(k) with a Nielsen company match
Generous paid time off policy
Company-provided vehicle, depending on the role
Discretionary incentive/bonus eligibility, depending on the role
Potential eligibility for bonuses, equity, or other incentives