Forward Deployed Engineer (Generative AI)

About the role

Drive the on-site deployment, integration, and scaling of enterprise Generative AI solutions. Embed within customer engineering teams to operationalize LLMs and retrieval systems across multi-cloud environments (AWS, Azure, GCP). Bridge the gap between AI research and production-grade cloud infrastructure.

Responsibilities

• Develop intelligent agents using Vertex AI Agent Builder, utilize Agent Developer Kit (ADK) for multi-agent systems, implement MCP Toolbox for secure database connections.
• Use Vertex AI for model training/tuning/deployment, build streaming data pipelines via Dataflow, ground AI models with vector engines in BigQuery or AlloyDB.
• Active participation in meetings, transparent communication with regular updates, proactive collaboration, consultative approach for translating business goals into technical architectures.

Requirements

• Vertex AI Mastery (Model Garden, Pipelines, evaluation)
• Data proficiency (SQL, Python, preprocessing)
• Cloud infrastructure (GCS, Vertex AI endpoints)
• Familiarity with stateful real-time processing and agentic architectures.

Technical Qualifications

• Vertex AI Mastery (Model Garden, Pipelines, evaluation)
• Data proficiency (SQL, Python, preprocessing)
• Cloud infrastructure (GCS, Vertex AI endpoints)
• Familiarity with stateful real-time processing and agentic architectures.

Benefits

Opportunity for significant career development in a fast-growing entrepreneurial environment.

Pay

TBD

Schedule

TBD

Skills

• Vertex AI Mastery (Model Garden, Pipelines, evaluation)
• Data proficiency (SQL, Python, preprocessing)
• Cloud infrastructure (GCS, Vertex AI endpoints)
• Familiarity with stateful real-time processing and agentic architectures.

Qualifications

• Vertex AI Mastery (Model Garden, Pipelines, evaluation)
• Data proficiency (SQL, Python, preprocessing)
• Cloud infrastructure (GCS, Vertex AI endpoints)
• Familiarity with stateful real-time processing and agentic architectures.