Description
This is a full-time, on-site role based in our New York office.
As a Forward Deployed Engineer, Enterprise, you'll work directly with Tavily's largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily's API.
Your responsibilities will include:
- Working directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements.
- Leading technical discovery and solution design during pre-sales and expansion conversations.
- Scoping, building, and delivering proofs of concept that demonstrate clear business and technical value.
- Designing and implementing production-ready integrations using Tavily's API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications.
- Partnering with customer engineering, data, product, and AI teams to move use cases from prototype to production.
- Monitoring customer API usage patterns and recommending improvements to increase reliability, latency, coverage, and overall value.
- Translating recurring customer needs, blockers, and technical patterns into clear product and roadmap input.
- Creating reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation.
- Representing Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews.
- Partnering closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts.
We expect you to have:
- 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.
Compensation:
- Base Compensation Range: $179,500-$224,300 USD
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams