Forward Deployed Engineer (Generative AI)

2 months ago

Remote, United States +4 moreSenior

Responsibilities

Deploy, integrate, and scale enterprise generative AI solutions within customer engineering teams.
Develop intelligent agents with Vertex AI Agent Builder and build multi-agent systems using the Agent Developer Kit.
Connect agents securely to enterprise databases such as BigQuery and Spanner using MCP Toolbox.
Train, tune, evaluate, and deploy models with Vertex AI and integrate them with BigQuery for feature engineering.
Build 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.
Translate business goals into robust technical architectures and communicate project milestones and technical blockers to stakeholders.
Participate in internal and client-facing meetings and collaborate on technical troubleshooting.

Proven generative AI experience and experience deploying AI solutions in production environments.
Experience with Vertex AI Model Garden, Vertex AI Pipelines, model evaluation, and Vertex AI endpoints.
Advanced SQL knowledge for BigQuery and Python skills for machine learning engineering.
Experience with Google Cloud Storage, BigQuery, data preprocessing, and streaming or stateful real-time processing.
Knowledge of scaling, encoding, imputation, retrieval systems, agentic architectures, and multi-cloud environments.
Ability to build consultative relationships, communicate clearly with stakeholders, and translate business needs into technical solutions.

Remote, full-time position.
Career development opportunities in a fast-growing and challenging entrepreneurial environment.
High degree of individual responsibility.

5,001-10,000 employees