Data & AI Architect

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🕒 Julho 28

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Weekday (YC W21)

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

💼 Consultoria

👥 RH Tech

☁️ SaaS

Consulting • HR Tech • SaaS

A Weekday é uma plataforma moderna de recrutamento que combina tecnologias de IA com um vasto banco de dados de potenciais candidatos, com o objetivo de agilizar e simplificar o processo de contratação para empresas na Índia. A empresa oferece diversos serviços, incluindo uma abordagem proativa de outreach que ajuda empregadores a se conectarem com talentos de ponta, além de ferramentas para que candidatos se candidatem facilmente a vagas. O foco da Weekday em engajamento de candidatos por múltiplos canais — incluindo e-mail, WhatsApp e ligações telefônicas — a diferencia no competitivo mercado de agências de recrutamento.

Descrição

• Lead the design and evolution of modern cloud-based data and AI platforms. • Define enterprise-scale data architecture and build AI-ready data ecosystems. • Ensure secure, scalable, and compliant data solutions. • Collaborate closely with engineering, data science, analytics, and business stakeholders to power intelligent decision-making.

🎯 Requisitos

• Min Experience: 9+ years • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field. • Extensive experience designing enterprise-scale Data & Analytics platforms. • Strong experience implementing cloud-native data and AI solutions on Microsoft Azure. • Deep expertise in data modeling, data warehousing, lakehouse architecture, and enterprise data platforms. • Strong understanding of APIs, event-driven architecture, master data management, and cloud-native application design. • Hands-on experience with SQL Server, Azure Data Lake, Azure Data Factory, Databricks, Spark, Python, and CI/CD pipelines. • Experience designing AI-ready architectures supporting machine learning and generative AI workloads. • Strong knowledge of MLOps and LLMOps tools such as MLflow, Azure Machine Learning, LangChain, vector databases, and RAG architectures. • Familiarity with Agentic AI frameworks such as CrewAI, LangGraph, AutoGen, or similar orchestration platforms. • Excellent analytical, problem-solving, communication, and stakeholder management skills. • Experience mentoring technical teams and driving architecture governance. • Preferred Qualifications: Experience within Insurance, Financial Services, or other highly regulated industries. • Knowledge of regulatory data frameworks and compliance requirements. • Experience implementing AI governance, explainability, and responsible AI practices. • Experience working in Agile, Data Mesh, or domain-driven data architectures. • Microsoft Azure Solutions Architect, Azure AI Engineer, or equivalent cloud certifications. • AI/ML certifications are an added advantage.