Forward Deployed Engineer, Enterprise

Tavily

. Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements .

Posted 9/24/2026full-timeNew York City • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software engineering with a focus on AI applications, including strong capabilities in Python, API integration, and production software development. Proven ability to engage with enterprise customers, lead technical discovery, and deliver impactful proofs of concept.

Highest-signal resume keywords

Python ProgrammingAPI IntegrationAI Application DevelopmentTechnical DiscoveryCustomer Engagement

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Hard Skills

Software EngineeringProduction Software DevelopmentBuilding with LLMsRetrieval-Augmented GenerationAgent ArchitecturesContext EngineeringBackend SystemsSolution DesignProofs of ConceptTechnical Documentation

Soft Skills

Clear CommunicationStakeholder ManagementHigh AutonomyStrong OwnershipExcellent Written Communication

Tools & Technologies

Tavily APIIntegration TemplatesReference ArchitecturesDemo EnvironmentsDeployment Guides

Industry Keywords

Enterprise CustomersAI SystemsTechnical ArchitectureProduction RolloutCustomer Success

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements
Lead technical discovery and solution design during pre-sales and expansion conversations
Scope, build, and deliver proofs of concept that demonstrate clear business and technical value
Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications
Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production
Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value
Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input
Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation
Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews
Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts

Requirements

What you’ll need

5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant
Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development
Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks
Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout
Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems
Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers
High autonomy, strong ownership, and comfort operating in a fast-moving startup environment
Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations
Based in New York City, or willing to relocate