Forward Deployed Engineer – AI Solutions

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Collaborate with Sales to implement Gracenote’s go-to-market strategy and showcase AI solutions to customer stakeholders.

• Facilitate discovery sessions, comprehend customer use cases and AI-driven architectures, and pinpoint value propositions for Gracenote metadata.

• Create and execute proofs of concept.

• Manage and ensure customer engagement and adoption through contract finalization.

• Design, develop, and sustain specialized AI agents that exhibit Gracenote Video MCP Server capabilities.

• Convert entertainment workflows, such as conversational search, catalog enrichment, and personalized recommendations, into prototypes.

• Deploy agents on platforms like Google or AWS frameworks.

• Evaluate customer environments and propose integration patterns for AI workflows.

• Test and validate new MCP tools and features as the “Customer Zero.”

• Assist developers with technical adoption through code-level guidance and integration documentation.

• Support customers in using JSON-RPC 2.0 for API/server interactions.

• Advocate for 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

• Strong understanding of agent creation and deployment frameworks along with MCP tooling.

• Familiarity with LLM utilization of MCP primitives: Tools, Resources, and Prompts.

• Proficient knowledge of JSON-RPC 2.0.

• Hands-on experience with AWS Cognito for identity management, user authentication, and secure API access control.

• Experience in designing, deploying, or observing multi-step AI agents using Google ADK, AWS Bedrock Agents, LangChain, or LlamaIndex is preferred.

• Knowledge of MCP tool chaining, system prompt engineering, function calling across Gemini, Claude, and GPT, along with step-level tracing or response evaluation.

• Ability to navigate enterprise security requirements, including OAuth/OIDC and data privacy.

• Extensive experience in Python or TypeScript/Node.js.

• Familiarity with connecting MCP clients and servers to managed enterprise foundation models through AWS Bedrock, Google Cloud Vertex AI, Microsoft Azure AI / Foundry, etc.

• Acquaintance with large-scale structured datasets, content discovery architectures, and the mechanics of search and recommendation engines.

• Familiarity with the CTV/Streaming and entertainment ecosystem is a plus but not mandatory.

• Demonstrated skills in customer interaction, consultative leadership, and stakeholder management.

• Willingness to travel globally to customer sites up to 40% of the time.

🏝️ Benefits

• Comprehensive health and wellness plans.

• 401(k) plan with a Nielsen company match.

• Generous paid time off policy.

• 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.