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    Job · 21311333

    BENGALURU · FULLTIME

    EY GDS - Senior-AppSec-AI-Automation-Engineer

    Ernst Young

    Ernst Young

    Bengaluru · onsite · Posted 4d ago

    Sourced fromNaukri
    Undisclosed4–9 yrsfulltimeBengaluru

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    Section · 01

    About this role

    EY GDS AI Automation Engineer Senior, Technology Consulting
    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

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    Section · 02

    Skills

    AutomationAzure Devopsai developmentAzure Aiapi securityai frameworksamazon web servicesai engineerai automationAutomation EngineeringAnalyticsai securityApplication SecurityAccountingAi SolutionsMicrosoft AzureArtificial IntelligenceAutomation Solutions

    Section · Company

    About Ernst & Young

    Ernst Young

    Ernst Young

    Management Consulting

    44k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹15.3L PA avg

    Avg at Ernst & Young

    About

    At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.

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