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Job Title: AI Engineer Enterprise AI & Data Platform Department: Information Technology Employment Type: Full-Time Experience: 36 Years Location: Chennai Role Summary We are looking for an AI Engineer to build and maintain enterprise AI solutions using Generative AI, LLMs, RAG, Text-to-SQL, AI Agents, APIs, and governed enterprise data. Key Responsibilities Develop centralized Enterprise AI and conversational AI platforms.Build Natural Language-to-SQL / Text-to-SQL solutions using governed data sources.Integrate AI applications with semantic layers, APIs, databases, and enterprise systems.Develop RAG-based solutions for documents, policies, manuals, and business knowledge.Design and implement AI agents and agentic workflows.Work with LLM platforms such as OpenAI, Azure OpenAI, Microsoft Copilot, Anthropic, and Gemini.Implement RBAC, authentication, authorization, data protection, audit logging, and AI security controls.Develop AI evaluation, monitoring, hallucination detection, and performance-improvement mechanisms.Support AI dashboards with KPIs, tables, charts, summaries, and analytics.Deploy and maintain AI applications using Azure/AWS/GCP, Docker, CI/CD, and monitoring tools.Ensure AI solutions use only approved, governed, read-only enterprise data sources.Required Skills Strong Python and SQL skills.Experience developing REST APIs and backend services.Hands-on experience with Generative AI, LLM APIs, Prompt Engineering, and Context Management.Practical experience in Text-to-SQL / Natural Language Query.Strong understanding of databases, data modelling, semantic layers, and metadata.Experience with RAG, embeddings, vector databases, and enterprise search.Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks.Experience with Azure/AWS/GCP and Docker.Understanding of AI security, RBAC, prompt injection, data leakage, and governance.Preferred Experience 36 years of software/AI engineering experience.12+ years of practical Generative AI/LLM development.Experience building enterprise AI assistants, AI data agents, conversational analytics, or Text-to-SQL systems.Experience with Azure OpenAI, Microsoft technologies, Power BI, or similar platforms.Enterprise experience in shipping, logistics, laboratory, or other business domains is an advantage.Job Type: Full-time Compensation: 30,000.00 - 40,000.00 per month Benefits: Health insuranceProvident FundExperience: AI Engineer Enterprise AI & Data Platform: 3 years (Required)Language: English (Required)Work Location: In person .
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.