AI Automation Engineer
JAGADEESH THOTARemoteMIDPosted 14d ago
PythonGenerative AILLMsAI-driven automationRAG pipelinesPrompt EngineeringEmbeddingsLangChainLangGraphLlamaIndexAutoGenSemantic KernelGitHub CopilotOpenAI CodexClaudeCursorGeminiAzureAWSGCPAI workflow automationSecure CodingSASTDASTDevSecOpsAPI SecurityOWASP Top 10VAPTPenetration TestingRed TeamingAdversarial TestingAI/LLM Security
About the Role
We are looking for an AI Automation Engineer to join EY Global Delivery Services (GDS) and work on innovative AI automation initiatives for enterprise and client environments.
Key Responsibilities
• Build and deploy AI-powered automation workflows
• Integrate AI solutions with enterprise systems, cloud platforms, and CI/CD pipelines
• Develop RAG-based applications and agentic workflows
• Automate code generation, testing, vulnerability analysis, and documentation
• Contribute to AI evaluation frameworks, benchmarking, and reusable accelerators
• Collaborate with architects, engineers, and global client teams
Requirements
• Strong Python programming skills
• Experience with Generative AI, LLMs, and AI-driven automation
• Knowledge of RAG pipelines, Prompt Engineering, and Embeddings
• Familiarity with AI Agent Frameworks – LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel
• Experience with AI Developer Tools – GitHub Copilot, OpenAI Codex, Claude, Cursor, Gemini
• Cloud Exposure – Azure preferred, AWS or GCP
• Understanding of AI workflow automation, evaluation, and testing
• Basic understanding of data pipelines and vector databases
• Cybersecurity Experience – Any One Preferred: Application Security or Offensive Security
• Bachelor's degree in Computer Science, Engineering, AI/ML, Cybersecurity, or a related field
• Azure AI, AWS ML, or CSSLP certifications are an added advantage