Python · Docker · Kubernetes · AWS · Azure
ABOUT THE ROLE
Join a specialized technical delivery team building and launching AI agents for enterprise customers. You will own hands-on implementation from scoping through launch and ongoing iteration, helping customers achieve reliable, high-quality outcomes while informing improvements to the agent-building platform.
WHAT YOU'LL DO
- Lead end-to-end AI agent implementations for enterprise customers, from requirements gathering and build planning through launch and iteration.
- Write, configure, test, and maintain the artifacts and integrations needed to build production-ready agents.
- Partner with customer technical stakeholders and internal product, engineering, success, and go-to-market teams to define success and resolve delivery challenges.
- Validate integrations and agent performance, surface product gaps, and share customer feedback to improve the platform.
- Structure implementation work with clear testing, validation, and iteration to ensure agents perform reliably at scale.
WHAT WE'RE LOOKING FOR
- At least 3 years of relevant experience in a technical, customer-facing role such as solutions engineering, forward-deployed engineering, technical consulting, or implementation engineering.
- Ability to write code, including experience with Python, APIs, and building integrations.
- Experience shipping production-grade technical solutions end to end for customers, with structured execution, testing, and iteration.
- Background at a technically complex B2B SaaS company and experience with enterprise integrations, such as CRM, ticketing, or d