Forward Deployed Engineer – AI Solutions

🔥 12 hours ago

🇲🇽 Mexico – Remote

💵 $203k - $377k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nielsen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1923

📱 Media

📣 Marketing

💰 Post-IPO Debt on 2023-02

Media • Data Analytics • Marketing

Nielsen is a global measurement and data analytics company that provides audience measurement and media metrics solutions across various platforms. They offer cross-media measurement services spanning TV, digital, streaming, and audio for more precise media planning and marketing optimization. Nielsen's flagship product, Nielsen ONE, integrates these services to deliver a comprehensive view of audience habits and preferences. Additionally, they offer insights and tools for understanding consumer behavior and optimizing marketing strategies, backed by a robust data infrastructure including big data and panel methodologies. Nielsen also champions diversity and inclusion, emphasizing a culture supported by a diverse workforce and numerous business resource groups.

📋 Description

• Partner with Sales to apply Gracenote’s go-to-market strategy and demonstrate AI solutions to customer stakeholders • Lead discovery sessions, understand customer use cases and AI-based architectures, and identify value propositions for Gracenote metadata • Develop and run proofs of concept • Own and secure customer engagement and adoption through contract signature • Design, build, and maintain focused AI agents demonstrating Gracenote Video MCP Server capabilities • Translate entertainment workflows such as conversational search, catalog enrichment, and personalized recommendations into prototypes • Deploy agents on frameworks such as Google or AWS frameworks • Analyze customer environments and recommend integration patterns for AI workflows • Test and validate new MCP tools and features as “Customer Zero” • Guide developers through technical adoption with code-level guidance and integration documentation • 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 implementation SLAs and best practices for Tier 1 and Tier 2 global accounts

🎯 Requirements

• Solid grasp of agent creation and 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 • Understanding of MCP tool chaining, system prompt engineering, function calling across Gemini, Claude, and GPT, and step-level tracing or response evaluation • Ability to navigate enterprise security requirements including OAuth/OIDC and data privacy • Strong experience in Python or TypeScript/Node.js • 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 and recommendation engine mechanics • Familiarity with the CTV/Streaming and entertainment ecosystem welcome but not required • Proven customer interaction, consultative leadership, and stakeholder management skills • Ability to travel globally to customer sites up to 40% of the time

🏖️ Benefits

• 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