Forward Deployed Engineer, Enterprise

About the role

Tavily's Forward Deployed Engineering team works at the intersection of customers, Product, Engineering, Sales, Partnerships and Customer Success. The Enterprise FDE motion serves Tavily's highest-value customers and strategic enterprise opportunities, from technical discovery and solution design through proof of concept, production rollout, adoption and expansion. As a Forward Deployed Engineer, Enterprise, you will work directly with Tavily's largest customers to design, prototype and deploy production-grade AI systems powered by Tavily's API, owning the technical relationship across the customer lifecycle.

Key responsibilities

• Work 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.
• Build and deliver proofs of concept that show 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 reliability, latency, coverage and value.
• Turn recurring customer needs, blockers and technical patterns into product and roadmap input.
• Create reusable enterprise assets such as reference architectures, integration templates, deployment guides, demo environments and technical documentation.
• Represent Tavily in architecture reviews, executive technical conversations, implementation check-ins and post-deployment reviews.
• Partner with Sales, Customer Success, Product and Engineering to drive adoption, retention and expansion across strategic accounts.

Required profile

• 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.
• 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.
• Clear communication with technical and executive stakeholders, and high autonomy in a fast-moving startup environment.

Required skills

• Hands-on engineering with Python, APIs, backend systems and production software development.
• Building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering and modern AI application stacks.
• Added bonus: LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI, vector databases (Pinecone, Weaviate, pgvector, Qdrant), enterprise AI use cases in finance, legal, consulting, SaaS, sales, marketing or internal knowledge management, and a track record moving large customers from POC to production.