About the role
Job Description Forward Deployed Engineer (Generative AI)
Company Overview
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, recognized by Forrester and Gartner.
Role Overview
The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.
Requirements
Agentic Design & Implementation
- Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
- 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 like BigQuery and Spanner.
AI on Data Strategy
- Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless integration with BigQuery for feature engineering.
- Build and optimize streaming data pipelines (e.g., via Dataflow) to execute real-time inference using RunInference API or Vertex AI endpoints.
- Ground AI models in live business context using vector engines within BigQuery or AlloyDB.
Operational Excellence (Soft Skills)
- Active Participation: Show up promptly for all internal and client-facing meetings.
- Transparent Communication: Provide regular, structured status updates.
- Proactive Collaboration: Ask for help when facing technical hurdles.
- Consultative Approach: 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 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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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