Forward Deployed Engineer, Enterprise - Tavily

$180k - $224k • New York, United States; United States

Posted 5d ago

Remote Work Policy

On-site

Categories

AI Engineer

About the job

Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to high-quality web content. As a Forward Deployed Engineer, Enterprise, you will work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You will own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. This is a full-time, on-site role based in our New York office.

Responsibilities

  • 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

  • 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.
  • Experience working with major agent or LLM orchestration frameworks is a plus.

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