Forward Deployed Engineer, Generative AI

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• The Forward Deployment 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. • You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

🎯 Requirements

• 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". • Active Participation: Show up promptly for all internal and client-facing meetings. • Transparent Communication: Provide regular, structured status updates to team members and stakeholders regarding project milestones and technical blockers. • Proactive Collaboration: Demonstrate the ability to ask for help when facing technical hurdles and contribute to a collaborative troubleshooting environment. • Consultative Approach: Navigate corporate environments to translate high-level business goals into robust technical architectures. • 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 (scaling, encoding, imputation). • 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. • 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.