Forward Deployed Engineer (Generative AI)

Requirements

• Agentic Design & Implementation:
  • Develop intelligent agents using Vertex AI Agent Builder.
  • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems.
  • Implement tools like MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases.
• AI on Data Strategy:
  • Utilize Vertex AI for model training, tuning, and deployment.
  • Build and optimize streaming data pipelines using Dataflow for real-time inference.
  • Ground AI models in live business context using vector engines within BigQuery or AlloyDB.
• Operational Excellence (Soft Skills):
  • Show up promptly for all internal and client-facing meetings.
  • Provide regular, structured status updates to team members and stakeholders.
  • Demonstrate the ability to ask for help when facing technical hurdles.
  • Navigate corporate environments to translate high-level business goals into robust technical architectures.
• Technical Qualifications:
  • Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
  • Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques.
  • Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
  • Emerging Tech: Familiarity with stateful real-time processing and the latest innovations in agentic architectures.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.