Data & AI Architect

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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.

🎯 Requirements

• 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.