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About the Role

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of 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), bridging the gap between AI research and production-grade cloud infrastructure. You will collaborate with cross-functional teams and business partners, leveraging analytical skills to ensure business value and communicate results.

Responsibilities

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 that collaborate to solve end-to-end business challenges.
Implement tools like MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner.
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 to eliminate "AI amnesia".
Show up promptly for all internal and client-facing meetings.
Provide regular, structured status updates to team members and stakeholders regarding project milestones and technical blockers.
Ask for help when facing technical hurdles and contribute to a collaborative troubleshooting environment.
Navigate corporate environments to translate high-level business goals into robust technical architectures.

Requirements

Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
Advanced knowledge of SQL for BigQuery, Python for ML engineering, and data preprocessing techniques (scaling, encoding, imputation).
Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
Familiarity with state-of-the-art real-time processing and the latest innovations in agentic architectures.

Skills

Generative AI
Large Language Models (LLMs)
Retrieval Systems
Vertex AI Agent Builder
Agent Developer Kit (ADK)
MCP (Model Context Protocol) Toolbox
BigQuery
Spanner
Dataflow
RunInference API
AlloyDB
SQL
Python
Google Cloud Storage
Vertex AI endpoints

Location

On-site

Work Type

Full-time

Experience Level

Experienced

About the Company

Tiger Analytics is a fast-growing advanced analytics consulting firm.
Employees bring deep expertise in Machine Learning, Data Science, and AI.
Trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
Business value and leadership recognized by various market research firms, including Forrester and Gartner.
Building the best global analytics consulting team in the world.
Offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Equal Opportunity

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.