TechOps-DE-AI-Staff-Assistant-GDSN02

EY; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

EY is hiring Staff – Digital Engineering Operations – AI Engineer in Bengaluru to design and deliver AI-powered automation solutions. You will work with senior engineers, architects and business stakeholders to implement intelligent AI workflows, integrate LLMs with enterprise systems, and ensure secure, scalable deployments.

You will contribute to reusable accelerators, write technical docs, and uphold Responsible AI standards across engagements.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, IT, Data Science or related field.
• 2–4 years of experience in software development, automation, AI/ML, or related tech roles.
• Hands-on experience with LLMs, prompt engineering, RAG, AI agents or AI-powered workflow automation.
• Proficiency in Python and API/integration development; JavaScript/TypeScript is a plus.
• Familiarity with AI/ML frameworks, vector databases, semantic search and cloud AI services.
• Understanding of AI governance, Responsible AI principles, security and operational best practices.

Responsibilities

• Design, develop, test, and deploy AI solutions using LLMs, retrieval systems and agents.
• Integrate AI services with enterprise apps via APIs, SDKs and cloud-native tech.
• Develop automation workflows using Python to enable intelligent processes.
• Monitor and optimize AI agents for reliability, scalability, and security.
• Collaborate with AI Platform, Engineering, Operations and Business teams.
• Create documentation and ensure compliance with security, governance and Responsible AI standards.

Skills

LLMs

Prompt engineering

RAG

Python

APIs & integrations

Cloud platforms

Education

Bachelor's degree in Computer Science, Engineering, IT, Data Science

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

AutoGen

Job description

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.

Service line - Position Title: TechOps - Staff – Digital Engineering Operations – AI Engineer

At EY, we’re all in to shape 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.

The Opportunity

As a Staff in the EY GDS Tech Ops practice, you will be responsible for developing, implementing, and supporting AI-powered solutions that leverage Large Language Models (LLMs), AI services, and enterprise integrations. You will work closely with senior engineers, architects, and business stakeholders to build intelligent automation solutions, AI agents, and digital workflows that improve operational efficiency and business outcomes. This role requires strong software development skills, a passion for emerging AI technologies, and the ability to collaborate effectively across multidisciplinary teams to deliver scalable, secure, and responsible AI solutions.

You will be responsible for executing tasks with increasing autonomy, applying sound judgement within defined parameters, and contributing to team outcomes. You are expected to demonstrate initiative, resolve routine issues independently, and support junior colleagues.

You will anticipate and identify risks within engagement and share any issues with senior members of the team.

In line with EY commitment to quality, you’ll confirm that work is of high quality and is reviewed by the next-level reviewer.

Your Key Responsibilities

• Design, develop, test, and deploy Agentic AI solutions leveraging LLMs, retrieval systems, AI agents, and orchestration frameworks to automate business and operational processes.
• Integrate LLMs, NLP, Computer Vision, and other AI/ML services with enterprise applications and platforms through APIs, SDKs, and cloud-native technologies.
• Develop custom applications, services, and automation workflows using Python and modern AI frameworks to enable intelligent process automation and system integration.
• Monitor, troubleshoot, maintain, and optimize AI agents and automated workflows to ensure reliability, scalability, performance, and security.
• Collaborate with AI Platform, Engineering, Operations, and Business teams to identify use cases, implement AI solutions, and operationalize enterprise AI capabilities.
• Create technical documentation, contribute to reusable AI accelerators and best practices, and ensure solutions comply with security, governance, risk management, and Responsible AI standards.

Skills And Attributes For Success

• Hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
• Strong understanding of Generative AI, NLP, machine learning concepts, and experience integrating AI services into enterprise applications and business workflows.
• Proficiency in Python and experience integrating enterprise systems through APIs, SDKs, and cloud-native services to develop AI-powered automation solutions.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI/ML services, vector databases, embeddings, and semantic search technologies.
• Understanding of AI governance, Responsible AI principles, security, privacy, and operational practices such as DevOps, MLOps, and LLMOps is an added advantage.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively across AI, engineering, operations, platform, and business teams to deliver impactful AI solutions.

To qualify for the role, you must have

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 2-4 years of experience in software development, automation, AI/ML, or related technology roles, with exposure to Generative AI or AI-powered solutions.
• Hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or AI-powered workflow automation.
• Proficiency in Python and experience developing APIs, integrations, automation scripts, or enterprise applications. Knowledge of JavaScript/TypeScript is a plus.
• Familiarity with AI/ML frameworks, NLP technologies, vector databases, semantic search, and cloud-based AI services such as Azure, AWS, or Google Cloud.
• Understanding of software development best practices, AI governance, model evaluation, monitoring, security, and Responsible AI principles.

What we look for

• Passionate and curious technologists with a strong interest in Generative AI, Agentic AI, intelligent automation, and emerging AI technologies, coupled with hands‑on experience in Python development and enterprise integrations.
• Continuous learners who stay current with advancements in LLMs, AI agents, RAG architecture, agent orchestration frameworks, and cloud-based AI services.
• Strong problem solvers with the ability to analyze complex business challenges, identify automation opportunities, and design innovative AI-driven solutions.
• Self‑motivated professionals who take ownership of outcomes and proactively troubleshoot, optimize, and enhance AI-enabled workflows and systems.
• Collaborative team players who can effectively partner with AI, engineering, platform, operations, and business stakeholders in distributed, hybrid, and global work environments.
• Engineers with a strong customer and business‑value mindset, capable of translating requirements into scalable, secure, and impactful AI solutions.
• Detail‑oriented professionals who maintain high standards for code quality, testing, documentation, governance, and operational excellence.
• Individuals with strong communication and presentation skills, able to articulate technical concepts to both technical and non‑technical audiences.
• Professionals who embrace innovation while balancing Responsible AI principles, security, compliance, and enterprise governance requirements.

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.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability‑related adjustments or accommodations you may need.

Successful candidates advance to a competency‑based interview. If mutual interest persists, a job offer awaits.

“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.