Forward Deployed Engineer (Generative AI)

13 days ago

Remote, United States +4 moreSenior

Responsibilities

Develop intelligent agents with Vertex AI Agent Builder to automate complex business workflows.
Build and manage multi-agent systems with the Agent Developer Kit.
Use MCP Toolbox to securely connect agents to enterprise databases such as BigQuery and Spanner.
Train, tune, deploy, and evaluate models with Vertex AI and integrate them with BigQuery.
Build and optimize streaming data pipelines for real-time inference using Dataflow, RunInference API, or Vertex AI endpoints.
Ground AI models in live business context using vector engines in BigQuery or AlloyDB.
Deploy, integrate, and scale enterprise Generative AI solutions within customer engineering teams.
Translate business goals into robust technical architectures and communicate project status and technical blockers to stakeholders.

Experienced in Generative AI and forward deployment or customer-embedded engineering work.
Proven experience with Vertex AI Model Garden, Vertex AI Pipelines, and model evaluation.
Advanced knowledge of SQL for BigQuery and Python for machine learning engineering.
Experience with data preprocessing techniques including scaling, encoding, and imputation.
Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
Familiarity with stateful real-time processing and agentic architectures.
Ability to collaborate with client-facing and cross-functional teams and translate business requirements into technical solutions.

Remote, full-time position.
Opportunity for significant career development in a fast-growing, challenging entrepreneurial environment.
High degree of individual responsibility.

5,001-10,000 employees