Forward Deployed Engineer - AI Solutions (Gracenote Division)

SmartRecruiters, Inc.; United States; Remote; USD 203,000 - 377,000; Full time

Benefits offered by this job

Health insurance

401(k) with Nielsen match

Paid time off

Job summary

Nielsen’s Gracenote division seeks a highly technical Forward Deployed Engineer to lead technical pre-sales and implementation for our API and AI products, focusing on creating agents that solve customer problems with the Gracenote MCP Server suite.

You will bridge customers and product/engineering teams, enabling B2B clients to integrate authoritative metadata into LLM-powered discovery experiences and highlight AI-first value. Travel up to 40% for workshops and on-site support.

Qualifications

• Strong experience in Python or TypeScript/Node.js to support PoCs and integration 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, etc.
• Familiarity with large-scale structured datasets, content discovery architectures, and search & recommendations engine mechanics.
• Consultative leadership to guide discovery, PoCs, and technical strategy to audiences from C-suite to engineering teams.

Responsibilities

• Technical Pre-Sales & Consultation: Partner with Sales to demonstrate AI value and run discovery sessions; own engagement and adoption through contract signature.
• Develop Agentic Solutions: Design and maintain a portfolio of AI agents that demonstrate MCP Server capabilities and entertainment workflows.
• Deploy on Frameworks: Deploy agents on Google/AWS/LangChain/LlamaIndex framework environments to prove efficacy.
• Solution Architecture: Analyze customer environments and map Gracenote tools to AI-based workflows; act as Customer Zero for MCP tooling.
• Implementation Excellence: Guide developers through integration, provide code guidance, and document use cases with JSON-RPC 2.0 standards.
• Product Advocacy: Translate customer requirements into product inquiries and documentation.
• Strategic Engagement: Establish SLAs and best practices for global accounts.
• Technical Mastery: Master MCP tools, LLM tool usage, and AWS/GCP/Azure ecosystems.
• Agentic AI & Orchestration: Design/deploy multi-step agents and manage tool chaining and prompts.
• Travel: Up to 40% to customer sites globally.

Skills

Python

TypeScript/Node.js

AWS Bedrock

LangChain

LlamaIndex

JSON-RPC 2.0

OAuth/OIDC

Cognito

MCP tooling

GA/ADK

Tools

AWS Bedrock

Google Vertex AI

Microsoft Azure AI/Foundry

Job description

Forward Deployed Engineer - AI Solutions (Gracenote Division)

• Full-time
• Compensation Min: $203,000
• Compensation Max: $377,000

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

This opportunity is for Nielsen’s Gracenote division - the premier entertainment metadata company in the world, powering the search, discovery, and navigation systems for the globe's biggest tech, automotive, and media giants.

As entertainment becomes more fragmented and AI reshapes the way people discover and engage with content, trusted data and technology are powering the future and are the foundation for better experiences. In partnership with our clients and by fully embracing AI, we are reinventing the business, products and teams to capture a once-in-a-lifetime opportunity which will significantly impact the media and entertainment ecosystem as a whole.

We are seeking a highly technical, customer-focused Product Solutions Architect (PSA) to lead technical pre-sales and implementation for our suite of API and AI products, with a primary focus on creating agents that solve customer problems with our newly launched and forthcoming Gracenote Model Context Protocol (MCP) Servers. You will serve as the technical bridge between our customers and our product/engineering teams, enabling B2B clients to successfully integrate our authoritative metadata into their LLM-powered discovery experiences, and highlight the value of AI-first approaches to their business problems.

Key Responsibilities

Technical Pre-Sales & Consultation: Partner with Sales to apply Gracenote’s GTM strategy, demonstrate the value of AI solutions to a variety of customer stakeholders (Product, Technology, or Marketing -oriented profiles). Lead discovery sessions, understand customer use-cases, AI -based architecture and identify tangible value propositions for how Gracenote metadata can improve customer’s discovery experience using AI. Elaborate and run proof of concepts. Own and secure customer engagement and adoption through contract signature.

Develop Agentic Solutions: Design, build, and maintain a portfolio of focused, single-purpose AI agents that demonstrate specific technical capabilities of the Gracenote Video MCP Server — translating complex, multi-step entertainment workflows (such as conversational search, catalog enrichment, and personalized recommendations) into tangible, hands-on prototypes

Deploy on Frameworks: Possess experience deploying these agents on various agentic frameworks, such as those provided by Google or AWS, to prove their efficacy

Solution Architecture: Analyze complex, siloed customer environments to recommend optimal integration patterns and map Gracenote tools/resources to customer-specific AI -based workflows. Act as "Customer Zero" to familiarize with, test and validate new MCP tools and features before they roll out to clients.

Implementation Excellence: Guide developers through the technical adoption process, providing code-level guidance, documenting integration use cases, and helping customers leverage JSON-RPC 2.0 standards for seamless API/server interaction.

Product Advocacy: Function as the "voice of the customer" to influence product roadmaps, translating customer requirements into actionable product inquiries (PIs) and technical documentation.

Strategic Engagement: Establish standardized SLAs and best practices for implementation, ensuring consistent delivery across Tier 1 and Tier 2 global accounts.

Technical Mastery: Solid grasp of agent creation and agentic deployment frameworks and MCP tooling, specifically how LLMs utilize MCP primitives (Tools, Resources, Prompts), JSON-RPC 2.0, and AWS ecosystem with specific, practical experience leveraging AWS Cognito for identity management, user authentication, and secure API access control.

Agentic AI & Orchestration: Experience designing, deploying, or observing multi-step AI agents using one or more of the following frameworks: Google ADK, AWS Bedrock Agents, LangChain, or LlamaIndex preferred. Deep understanding of tool chaining (MCP), system prompt engineering, function calling across major LLMs (Gemini, Claude, GPT), and step-level tracing or response evaluation.

Consultative Expertise: Proven ability to navigate complex enterprise security (OAuth/OIDC) and data privacy requirements while effectively communicating technical solutions to diverse audiences, from C-level executives to engineering teams.

Experience: Strong experience in Python or TypeScript/Node.js to support PoCs and integration 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, etc. Familiarity with large-scale structured datasets, content discovery architectures, and search & recommendations engine mechanics. Familiarity with the CTV/Streaming and the entertainment ecosystem is extremely welcome but not required.

Customer interaction skills: Proven ability to bridge the gap between complex LLM/MCP architectures and business objectives, leveraging strong consultative leadership and stakeholder management skills to guide discovery, execute Proof of Concepts (PoCs), and effectively communicate technical strategy to audiences ranging from C-suite executives to engineering teams.

Travel: Ability to travel to customer sites globally up to 40% of the time to conduct workshops, discovery sessions, and on-site technical support.

#LI-AW1

Enabling your best to power a better media future.

Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility.

Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives.

Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class.