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Nielsen
Nielsen
H1B Visa SponsorData AnalyticsMarketingMedia
Nielsen is a global media measurement and data analytics company that helps businesses understand audiences across television, digital platforms, streaming, and audio. Its Nielsen ONE offering brings cross-media measurement together to provide a clearer view of how people consume content and how media campaigns perform. The company combines large-scale data infrastructure with panel-based methodologies to generate insights into consumer behavior, media planning, and marketing effectiveness. Nielsen’s work spans media, data analytics, and marketing, with an emphasis on supporting an inclusive workplace through diverse teams and employee business resource groups.
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Forward Deployed AI Engineer, Gracenote - Mexico Remote

Build AI agents and API integrations for Nielsen Gracenote’s entertainment metadata platform. Lead technical pre-sales, proofs of concept, and customer implementations from discovery through adoption.

MXMexico
$203,000 – $377,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudJavaScriptNode.jsPythonTypeScript

Description

  • Collaborate with Sales to execute Gracenote’s go-to-market strategy and present AI solutions to customer stakeholders
  • Run discovery sessions, assess customer use cases and AI architectures, and define the value of Gracenote metadata
  • Create and deliver proofs of concept
  • Manage customer engagement and drive adoption through contract signing
  • Build, maintain, and demonstrate focused AI agents using Gracenote Video MCP Server capabilities
  • Turn entertainment workflows—including conversational search, catalog enrichment, and personalized recommendations—into working prototypes
  • Deploy agents with Google or AWS frameworks
  • Evaluate customer environments and recommend suitable AI workflow integration patterns
  • Act as “Customer Zero” by testing and validating new MCP tools and capabilities
  • Support developer adoption with code-level assistance and integration documentation
  • Help customers implement JSON-RPC 2.0 for API and server communication
  • Bring customer requirements into product roadmaps and convert them into product inquiries and technical documentation
  • Define implementation SLAs and best practices for Tier 1 and Tier 2 global accounts

Requirements

  • Demonstrated understanding of agent development, agentic deployment frameworks, and MCP tooling
  • Understand how LLMs use MCP primitives, including 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 monitoring multi-step AI agents with Google ADK, AWS Bedrock Agents, LangChain, or LlamaIndex is preferred
  • Understand MCP tool chaining, system prompt engineering, function calling across Gemini, Claude, and GPT, and step-level tracing or response evaluation
  • Ability to work within enterprise security requirements, including OAuth/OIDC and data privacy
  • Strong Python or TypeScript/Node.js experience
  • Experience connecting MCP clients and servers to managed enterprise foundation models through AWS Bedrock, Google Cloud Vertex AI, Microsoft Azure AI / Foundry, or similar platforms
  • Familiarity with large-scale structured datasets, content discovery architectures, and search and recommendation engines
  • Experience with the CTV, streaming, or entertainment ecosystem is welcome but not required
  • Demonstrated customer-facing, consultative leadership, and stakeholder management abilities
  • Willingness to travel globally to customer sites up to 40% of the time

Benefits

  • Comprehensive health and wellness coverage
  • 401(k) plan with a Nielsen company match
  • Generous paid time off
  • Company-provided vehicle, depending on the role
  • Eligibility for discretionary incentives or bonuses, depending on the role
  • Potential eligibility for bonuses, equity, or other incentives

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