Forward Deployed Engineer – AI Solutions

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $203k - $377k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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 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

• 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

• 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

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