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Generative AI Leader/Architect

Tiger AnalyticsRemote — Dallas, Texas, United States
Remote Full-time

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Experience Level

Mid to Senior

Qualifications

Responsibilities:Lead the architecture and implementation of GenAI/Agentic AI solutions for enterprise-ready applications. Collaborate with AI/ML teams to operationalize models using APIs, embeddings, vector databases, and prompt engineering methodologies. Manage the full-stack development and integration of GenAI features into web and mobile applications. Establish best practices for scalable, secure, and maintainable AI-powered application development. Optimize performance, latency, and reliability of AI features in production environments. Drive DevOps practices for continuous delivery and monitoring of AI-enabled services. Mentor engineering teams in code quality and architectural decisions. Evaluate emerging GenAI tools and frameworks, providing build-vs-buy recommendations. Oversee application-level development, testing, and deployment. Requirements:10+ years of full-stack application engineering experience, with a minimum of 2 years in a leadership role overseeing cross-functional teams. Expertise in architecting agentic AI systems using LangChain/LangGraph, CrewAI, and OpenAI Agentic SDK. Experience in designing RAG architectures utilizing hybrid search, vector databases, and knowledge graphs. Ability to optimize multi-agent workflows through reinforcement learning, dynamic orchestration, and memory management. Proficient in deploying scalable AI solutions on AWS/GCP.

About the job

Tiger Analytics, a leading advanced analytics consulting firm, is in search of a seasoned Generative AI Architect to join our dynamic team. Our experts possess profound knowledge in Machine Learning, Data Science, and AI, serving as a trusted analytics partner for numerous Fortune 500 companies and enabling them to extract valuable insights from their data. Our reputation for delivering business value has been affirmed by top market research firms, including Forrester and Gartner.

In this role, you will be a hands-on Engineering Lead specializing in Generative AI (GenAI) and Large Language Models (LLM) / Small Language Models (SLM). You will spearhead the design, development, and integration of AI-driven components into production-grade applications. This position requires strong engineering leadership, adherence to best practices, and a practical approach to system design and application development with applied AI. Familiarity with modern AI tools, cloud-native application stacks, and preferably the healthcare domain is highly desirable. You will oversee the technical delivery of AI-enhanced features for a variety of healthcare use cases while ensuring compliance with enterprise integration standards.

About Tiger Analytics

At Tiger Analytics, we pride ourselves on being at the forefront of advanced analytics, leveraging cutting-edge technologies to transform data into actionable insights. Our team combines deep industry knowledge with innovative solutions, making us a trusted partner for some of the world's largest enterprises.

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