Tiger Analytics Benefits Overview

Leads AI and Generative AI engagements from discovery through production, serving as the client and technical delivery lead. Combines project management with hands-on architecture and development of LLM applications, RAG pipelines, AI agents, APIs, and cloud-based services. Coordinates cross-functional teams, manages risks and delivery milestones, translates business needs into technical solutions, and oversees evaluation, monitoring, deployment, and production readiness.

Leads client-facing AI and Generative AI engagements from discovery through production while combining project leadership with hands-on engineering. Responsibilities include architecting and deploying LLM applications, RAG systems, AI agents, and production AI services; coordinating technical teams; managing delivery risks and timelines; and translating business needs into practical AI solutions. The role requires expertise in Python, cloud platforms, LLM frameworks, vector databases, APIs, microservices, deployment, evaluation, monitoring, and responsible AI.

Business-first consultant who partners with senior stakeholders to understand decisions, structure ambiguous problems, analyze data, and develop actionable recommendations. The role involves prototyping data- and AI-enabled solutions using Generative AI, Agentic AI, analytics, and low-code tools; coordinating data scientists, engineers, and domain experts; and translating insights into measurable business outcomes.