Forward-Deployed AI Data Engineer
edisyl · Boston / Remote ·
- Work mode
- Remote
- Category
- Data engineering
- Experience
- 4+ years
Build and deploy data pipelines and AI-agent workflows for enterprise clients, then own post-deployment support and turn learnings into reusable playbooks.
You will lead technical onboarding and implementation from data discovery through production deployment. You will build and troubleshoot connectors, pipelines, integrations, and AI-agent workflows; act as the primary technical contact after deployment; and turn field learnings into reusable implementation playbooks.
Responsibilities
- Lead technical onboarding and implementation through production deployment
- Build, configure, and troubleshoot data connectors, pipelines, and AI-agent workflows
- Work with Forge, Lattice, and Stratum
- Serve as the primary technical contact for accounts after deployment
- Surface product gaps, failure modes, and recurring patterns to engineering
- Develop implementation playbooks
- Support pre-sale scoping, technical discovery, and proof-of-concept builds
Requirements
- 4–8 years of data engineering and direct deployment or customer-facing experience
- Experience in enterprise data environments
- SQL proficiency
- Experience with DuckDB, dbt, or similar tools
- Python proficiency preferred
- Ability to read and write API integrations
- Experience building or deploying AI-agent workflows
- Client-facing experience
Benefits
- Meaningful early-stage equity
- Remote work