Job highlights

- . Cyber Experience (Any One Preferred) .

Job Summary Job Title: EY GDS - AI Automation Engineer, Technology Consulting.

EY Global Delivery Services (GDS) is seeking a high-performing AI Automation Engineer to design, develop, and deploy AI-driven automation solutions for enterprise and client environments. This role focuses on hands-on engineering, building scalable AI-powered workflows, and accelerating delivery through intelligent automation and generative AI capabilities.

You will work closely with cross-functional teams to implement production-grade AI use cases across application security, offensive security, and enterprise workflows using modern AI tooling, LLM frameworks, and automation platforms.

The ideal candidate combines strong software engineering fundamentals with working knowledge of generative AI, automation frameworks, and secure development practices, and demonstrates the ability to translate business needs into scalable AI-enabled solutions.

Key Responsibilities

- Develop, test, and deploy AI-driven automation workflows using LLMs, agent frameworks, and orchestration tools.
- Build and integrate AI-powered solutions into enterprise pipelines, including CI/CD workflows and cloud environments.
- Implement automation for use cases such as code generation, testing, vulnerability analysis, documentation, and knowledge retrieval.
- Work with generative AI tools including OpenAI Codex, GitHub Copilot, Claude, Cursor, and similar platforms to accelerate engineering productivity.
- Develop and support Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and evaluation datasets.
- Contribute to AI harness frameworks, evaluation pipelines, benchmarking models, and fine-tuning datasets.
- Implement agentic workflows using modern frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.




- Collaborate with architects and senior engineers to translate solution designs into working implementations.
- Ensure adherence to secure coding standards and integrate DevSecOps practices in AI solution delivery.
- Work closely with client stakeholders to understand requirements and deliver measurable automation outcomes. Cyber Experience (Any One Preferred)

Application Security

- Secure coding practices, static and dynamic application security testing (SAST/DAST), DevSecOps, CI/CD integration
- API security, OWASP Top 10, software supply chain security, secrets management

Offensive Security

- Vulnerability Assessment and Penetration Testing (VAPT), red teaming, adversarial testing
- Exposure to AI/LLM security risks including prompt injection, jailbreaks, and model misuse

Technical Skills and Expertise

- Programming: Python (mandatory), with exposure to JavaScript or other scripting languages
- AI/LLM Tools: OpenAI Codex, Copilot, Claude, Cursor, Gemini, or similar tools
- AI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or equivalents
- Cloud Platforms: Azure (preferred), AWS, or GCP
- AI Platforms: Azure AI Foundry, Azure OpenAI, Hugging Face, Vertex AI, or similar
- Prototyping Tools: Replit, notebooks, rapid experimentation tools
- Data Pipelines: Basic understanding of data ingestion, preprocessing, vector databases, embeddings
- Concepts: RAG, prompt engineering, embeddings, fine-tuning basics, evaluation methods, agentic workflows

Soft Skills and Attributes

- Solid problem-solving and analytical skills
- Effective communication and collaboration with global teams
- Ability to work in fast-paced consulting environments
- Continuous learning mindset with interest in emerging AI trends

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 EY GDS - AppSec-AI-Automation - Engineer (Bengaluru)
🏢 EY
📍 Bengaluru