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Job Title: Snowflake Data & AI Engineer Location: Nearshore [Need to Support PST hours] Contract: 6 Months Key Responsibilities AI & Snowflake Development • Design, develop, and deploy AI-powered data solutions using Snowflake Cortex. • Build and maintain Semantic Views that enable trusted, business-friendly access to enterprise data. • Develop AI-enabled analytics capabilities for business intelligence and decision support. • Design scalable AI data products leveraging Snowflake's native AI capabilities. AI Agent Development • Design and implement persona-based AI agents for business functions such as Sales, Finance, Operations, and Customer Success. • Integrate AI agents with enterprise data sources and business workflows. • Build natural language interfaces for enterprise data access. AI Orchestration & Integration • Integrate Snowflake Cortex with enterprise AI ecosystems. • Build AI workflows using MCP (Model Context Protocol) and modern LLM platforms. • Integrate with Claude, Gemini, OpenAI, and other enterprise AI services. • Support enterprise AI architecture and orchestration initiatives. Data Engineering & Quality • Develop robust SQL-based data transformation and engineering solutions. • Implement automated testing frameworks for AI outputs and data validation. • Ensure data accuracy, consistency, governance, and reliability. • Optimize Snowflake performance and AI workloads. Business Collaboration • Partner directly with business stakeholders to understand AI and analytics requirements. • Translate business problems into scalable AI-enabled data solutions. • Drive adoption of AI capabilities across business teams. • Support analytics enablement and self-service data initiatives. Required Technical Skills Snowflake AI • Snowflake • Snowflake Cortex • Cortex AI • Semantic Views • Snowflake AI Features AI & Generative AI • Generative AI • AI Agents • Enterprise AI • Prompt Engineering • LLM Integration • AI Orchestration LLM Platforms • Claude • Gemini • OpenAI • Model Context Protocol (MCP) Data Engineering • SQL • Data Modeling • Data Warehousing • Data Engineering • ETL/ELT • Data Validation Enterprise AI • AI Strategy • Persona-based AI Agents • Natural Language Analytics • Business Intelligence • Analytics Engineering Mandatory Skills • Strong hands-on experience with Snowflake. • Experience with Snowflake Cortex AI and Semantic Views. • Experience building AI/Generative AI solutions. • Strong SQL programming skills. • Experience designing AI agents and AI orchestration. • Experience integrating enterprise LLMs such as Claude, Gemini, or OpenAI. • Knowledge of Model Context Protocol (MCP) and enterprise AI integration patterns. • Strong understanding of data quality, testing, and validation frameworks. • Experience collaborating directly with business stakeholders. • Excellent communication and problem-solving skills. Nice to Have • Experience with dbt. • Python programming. • AWS Cloud. • Experience supporting Business Intelligence and Analytics adoption. • Exposure to enterprise AI governance and security. • Experience implementing enterprise data platforms. Preferred Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. • Experience delivering enterprise-scale AI and analytics solutions. • Experience working in cloud-native data engineering environments. • Familiarity with Agile development methodologies.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.