Generative AI Leader – Architect

🕒 Janeiro 26

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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Tiger Analytics

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

• 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.