AI Automation Engineer

Ernst & Young LLP ( EY India ); Bengaluru; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

EY Global Delivery Services in Bengaluru seeks an AI Automation Engineer to design, develop, and deploy AI‑driven automation across enterprise workflows. The role emphasizes hands‑on engineering for scalable AI use cases in security, compliance, and operations.

You will collaborate with global teams to translate business needs into secure, production‑grade automation, leveraging LLMs, AI tooling, and cloud platforms.

Formación

• Bachelor’s degree in Computer Science, Engineering, AI/ML, Cybersecurity, or related field.
• 2–4 years of experience in software engineering, automation, or AI‑driven solution delivery.
• Hands‑on experience with generative AI tools and automation frameworks.
• Relevant certifications are a plus: Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, CSSLP.

Responsabilidades

• 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, 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.

Conocimientos

Python

JavaScript

Generative AI

CI/CD

DevSecOps

LangChain

Azure

AWS

GCP

RAG

Educación

Bachelor’s degree in Computer Science, Engineering, AI/ML, Cybersecurity, or related field

Herramientas

OpenAI Codex

Copilot

Claude

Cursor

Gemini

Descripción del empleo

EY GDS-Staff-AppSec-AI-Automation-Engineer At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: EY GDS – AI Automation Engineer, Technology Consulting At EY, we’re all in shape to your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

About Global Delivery Services Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda. Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom. Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service. Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services. Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.

About the Role:

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:

Strong 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

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, AI/ML, Cybersecurity, or related field
• 2–4 years of experience in software engineering, automation, or AI‑driven solution delivery
• Hands‑on experience with generative AI tools and automation frameworks
• Relevant certifications are a plus: Microsoft Azure AI Engineer Associate AWS Machine Learning Specialty Certified Secure Software Lifecycle Professional (CSSLP)

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . Are you ready to shape your future with confidence?

Benefits :

Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting‑edge learning opportunities that empower you to continually grow and excel in your professional and personal development.

"We are an equal opportunity employer and are committed to Diversity, Equity & Inclusion".

EY | Building a better working world EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Experience Level Senior Level