Generative AI Leader/Architect

Job Summary

Tiger Analytics is seeking an experienced GenAI Architect to join our team. The ideal candidate will have a strong background in Generative AI, Large Language Models (LLM), and Small Language Models (SLM), with a focus on healthcare domain intricacies.

About the Role

The successful candidate will lead the design, development, and integration of AI-powered components into real-world, production-grade applications. They will also mentor engineers and guide code reviews, architectural decisions, and DevOps practices.

Responsibilities

• Lead the architecture, design, and implementation of GenAI/Agentic AI based solutions into real-world enterprise-ready applications.
• Collaborate with AI/ML teams to operationalize models using APIs, embeddings, vector databases, and prompt engineering techniques.
• Own full-stack development and integration of GenAI features into web/mobile applications.
• Establish best practices for scalable, secure, and maintainable AI-powered application development.
• Optimize application performance, latency, and reliability of AI features in production.
• Drive DevOps practices for continuous delivery and monitoring of AI-enabled services in production.
• Evaluate emerging GenAI tools and LLM frameworks (OpenAI, LangChain etc.) and make build-vs-buy recommendations.
• Oversee application-level development, testing, and deployment.

Requirements

• 10+ years of full-stack application engineering experience, with at least 2 years leading cross-functional teams.
• Architect agentic AI systems using LangChain/LangGraph, CrewAI, and OpenAI Agentic SDK.
• Design RAG architectures with hybrid search, vector databases, and knowledge graphs.
• Optimize multi-agent workflows using reinforcement learning, dynamic orchestration, and memory management.
• Deploy scalable AI solutions on AWS/GCP (SageMaker, Vertex AI, Bedrock API).

Qualifications

• 8+ years in AI/ML engineering with large-scale deployment expertise.
• Proficient in prompt engineering (zero-shot, chain-of-thought) and LLM evaluation.
• Strong background in insurance/financial domains (preferred).
• Agile collaborator with GitHub/VS Code proficiency.

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.