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Key Responsibilities Lead AI Automation Projects Drive end-to-end implementation of AI-based automation workflows for data extraction, cleansing, and enrichment. Translate business requirements into scalable AI/ML and automation solutions. GenAI & LLM Development Build, fine-tune, and deploy Generative AI and LLM models (OpenAI, LLaMA, Mistral, DeepSeek, etc.) for domain-specific use cases. Implement prompt engineering, RAG (Retrieval-Augmented Generation), and custom model training for enhanced performance. Automation & Workflow Design Architect and maintain automation pipelines for structured and unstructured data extraction (from text, documents, PDFs, websites, APIs). Integrate RPA tools, APIs, and AI-driven agents for intelligent workflow orchestration. Data Management Design effective workflows for data ingestion, validation, transformation, and quality control. Collaborate with data engineering teams to ensure high-quality, clean datasets for downstream AI/analytics. Leadership & Collaboration Provide technical leadership and mentor junior engineers in AI/automation best practices. Collaborate with prod uct, business, and engineering teams to identify opportunities for AI-driven efficiency. Requirements We are seeking a highly skilled AI Automation Lead with hands-on expertise in Generative AI (GenAI), Large Language Models (LLMs), DeepSeek, and intelligent automation workflows. The ideal candidate will lead the design, development, and deployment of AI-driven automation pipelines for large-scale data extraction, processing, and enrichment. This role requires both technical expertise and leadership skills, as you will be working closely with data engineers, analysts, and business stakeholders to deliver scalable AI-powered automation solutions. Prior experience in SaaS or platform settings. Exposure to MLOps, scalable LLM deployment, and API-first architectures. Understanding of enterprise compliance & risk frameworks. Experience leading AI teams .
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.