Digital-Senior

EY; Dadri; On-site; INR 1,500,000 - 3,200,000; Full time

Benefits offered by this job

Health & wellness

Learning programs

Job summary

EY is seeking a Senior AI Engineer with 4-8 years of hands-on experience to design, build, and deploy production-grade AI systems. The role emphasizes Python, Generative AI, and Azure, with strong ML/DL and NLP foundations, plus API design and cloud deployment.

You will lead as an individual contributor, mentor juniors, and engage stakeholders to translate business needs into scalable technical solutions across services and APIs.

Qualifications

• Bachelor's or master's degree in computer science, data science, AI, engineering, or related field.
• 4-8 years of hands-on software/AI engineering experience with production AI/ML.
• Proven track record of delivering production-grade AI/ML solutions.
• Strong Python and AI/ML ecosystem proficiency.
• Experience with Generative AI, embeddings, fine-tuning and RAG.
• Solid ML/DL fundamentals, NLP and transformer architectures.
• REST APIs design and integration, CI/CD, containerization, monitoring.
• Hands-on Azure cloud services experience; production deployment experience.

Responsibilities

• Own features end-to-end from problem framing to deployment and scaling on the cloud.
• Design, build, and deploy production-grade AI systems.
• Engage with stakeholders to translate business needs into scalable solutions.
• Design and develop REST/APIs and integrate AI models into services.
• Scale applications and optimize performance for high-volume workloads.
• Deploy and operate models/services in production environments (CI/CD, containerization, monitoring).
• Lead as an individual contributor and mentor junior engineers.

Skills

Python

Generative AI

Agentic AI

NLP

Transformer models

REST APIs

Azure cloud

CI/CD

Docker

Kubernetes

LangChain

Pinecone/FAISS

MLOps/LLMOps

Agile/Scrum

Multi-agent orchestration

Leadership

Education

Bachelor's or Master's in CS/Data Science/AI/Engineering

Tools

Azure

Azure ML

Docker

Kubernetes

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Pinecone

FAISS

Azure AI Search

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.

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

We are looking for a Senior AI Engineer with 4-8 years of overall experience to design, build, and deploy production-grade AI systems. The ideal candidate has strong hands‑on expertise in Python, Generative AI and Agentic AI, backed by a solid foundation in Machine Learning, Deep Learning, NLP, and Transformer architectures. This is a hands‑on role where you will be expected to operate as a strong individual contributor while also being able to work at a lead capacity, engaging directly stakeholders to translate business needs into scalable technical solutions.

Your Key Responsibilities

• Own features end-to-end, from problem framing and model development to API design, deployment, and scaling on the cloud.
• Design, build, and deploy production-grade AI systems.
• Engage directly with stakeholders to translate business needs into scalable technical solutions.
• Design and develop REST/APIs and integrate AI models into services.
• Scale applications and optimize performance for high-volume workloads.
• Deploy and operate models/services in production environments (CI/CD, containerization, monitoring).
• Operate as a strong individual contributor and lead at a stakeholder engagement capacity.
• Guide and mentor junior engineers.

Skills And Attributes For Success

• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field.
• 4-8 years of overall hands‑on experience in software/AI engineering (not limited to Generative AI).
• Proven track record of delivering production‑grade AI/ML solutions.
• Very strong proficiency in Python and its AI/ML ecosystem.
• Solid hands‑on experience with Generative AI (LLMs, prompt engineering, RAG, embeddings, fine‑tuning).
• Strong foundation in Machine Learning and Deep Learning concepts and techniques.
• Good working knowledge of NLP and Transformer‑based architectures.
• Production‑grade experience designing and developing REST/APIs and integrating AI models into services.
• Demonstrated experience in scaling applications and optimizing performance for high-volume workloads.
• Hands‑on experience with Microsoft Azure cloud services.
• Experience in deploying and operating models/services in production environments (CI/CD, containerization, monitoring).

Ideally, you’ll also

• Hands‑on experience building Agentic AI systems (multi‑agent orchestration, tool/function calling, autonomous workflows).
• Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen.
• Experience with vector databases (e.g., Pinecone, FAISS, Azure AI Search).
• Familiarity with MLOps/LLMOps practices and tooling.
• Experience with Docker/Kubernetes.
• Exposure to Azure AI/OpenAI services, Azure ML, and serverless deployments.
• Experience working in Agile/Scrum delivery environments.

What We Look For

• Excellent verbal and written communication skills.
• Ability to clearly articulate technical concepts to both technical and non‑technical audiences.
• Strong ownership, accountability, and a delivery‑focused mindset.
• Leadership presence and the ability to guide and mentor junior engineers.
• Strong problem‑solving and analytical thinking.
• Collaborative team player who can also work independently with minimal supervision.

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.

Our Commitment:

As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.

Professional Development:

From entry‑level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.

People and Culture:

In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.

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.

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.