Job Summary

EY Global Delivery Services (GDS) is seeking a highly skilled AI Automation Engineer - Senior to design, build, and optimize enterprise-grade AI automation solutions for global clients. This role emphasizes deep hands-on engineering expertise, focusing on optimizing AI systems, improving model performance, and delivering scalable, production-ready AI-enabled automation. You will work under architect guidance while owning key solution components, leading small workstreams, and delivering high-impact AI solutions across consulting engagements. The role requires a strong blend of software engineering, applied AI, optimization techniques, and secure development practices.

The ideal candidate demonstrates the ability to independently implement and optimize AI-driven systems, contribute to reusable accelerators, and mentor junior engineers while operating in a client-facing consulting environment.

Key Responsibilities

- Design, develop, and optimize AI-driven automation solutions using LLMs, agent frameworks, and orchestration platforms.
- Own and deliver end-to-end implementation of solution components, including integration into enterprise systems and CI/CD pipelines.
- Optimize AI systems across dimensions such as latency, cost, accuracy, and scalability (e.g., caching, batching, prompt optimization).
- Develop and enhance Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, retrieval tuning, re-ranking, and embeddings optimization.
- Implement and optimize fine-tuning strategies, including dataset preparation, prompt tuning, and model evaluation workflows.
- Build and productionize agentic systems using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalents.
- Develop automated evaluation frameworks, benchmarking pipelines, and model performance metrics.
- Contribute to AI harness frameworks, reusable accelerators, and enterprise AI development standards.
- Lead small workstreams, client discussions, demos, and proof-of-concept (POC) implementations.




- Mentor and review work of junior AI Automation Engineers, ensuring engineering quality and best practices.
- Collaborate closely with architects to translate high-level designs into scalable implementations.
- Ensure adherence to secure coding, DevSecOps, and AI security best practices.

Cyber Experience (Any One Preferred)

- Application Security:
- Secure coding practices, SAST/DAST, DevSecOps integration, CI/CD pipeline automation
- API security, OWASP Top 10, software supply chain security, secrets management, secure SDLC

- Offensive Security:

- Vulnerability Assessment and Penetration Testing (VAPT), red teaming, adversarial testing
- Exposure to AI/LLM-specific risks such as prompt injection, jailbreaks, data leakage, and model misuse

Technical Skills and Expertise

- Programming: Strong proficiency in Python; exposure to JavaScript, TypeScript, or other languages
- AI/LLM Tools: OpenAI Codex, GitHub Copilot, Claude, Cursor, Gemini, and similar developer tools
- AI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalents
- Cloud Platforms: Azure (preferred), AWS, or GCP
- AI Platforms: Azure AI Foundry, Azure OpenAI, Hugging Face, Vertex AI, or similar
- Vector Databases: Pinecone, FAISS, Azure AI Search, Weaviate, or equivalent
- Observability & Evaluation: LangSmith, PromptLayer, Azure Monitor, or equivalent tools
- DevOps & CI/CD: GitHub Actions, Azure DevOps, Jenkins, or similar
- Prototyping Tools: Replit, notebooks, rapid experimentation frameworks
- Core Concepts: RAG optimization, prompt engineering, embeddings, model fine-tuning (LoRA/basic), evaluation frameworks, agentic workflows

Soft Skills and Attributes

- Strong analytical and problem-solving capabilities
- Ability to lead small teams and guide junior engineers
- Effective communication and client interaction skills
- Ability to thrive in rapid-paced environments

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 - Senior-AppSec-AI-Automation-Engineer (Bengaluru)
🏢 EY
📍 Bengaluru