Generative AI Leader – Architect

🕒 January 26

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

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

• 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. • Mentor engineers and guide code reviews, architectural decisions, and DevOps practices. • Guide engineering teams in code quality, architectural reviews, and technical mentoring. • 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). • An Ideal Candidate would be of someone who has-•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.