Digital-Senior

EY; Hyderabad; On-site; INR 2,800,000 - 5,000,000; Full time

Job summary

EY is seeking a Senior AI Engineer with 4-8 years of hands-on software/AI experience to design, build, and deploy production-grade AI systems. The role requires strong Python skills, Generative AI expertise, and the ability to work as both an individual contributor and a lead with stakeholders.

You will design REST APIs, deploy AI models, and scale cloud-based solutions while mentoring junior engineers in a fast-paced environment.

Qualifications

• 4-8 years of hands-on software/AI engineering experience.
• Proven track record delivering production-grade AI/ML solutions.
• Strong Python proficiency and AI/ML ecosystem knowledge.
• Experience with Generative AI, LLMs, prompts, RAG, embeddings, fine-tuning.

Responsibilities

• Own features end-to-end from problem framing to API design and deployment on the cloud.
• Design, build, and deploy production-grade AI systems.
• Engage 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 (CI/CD, containerization, monitoring).
• Act as a strong individual contributor and lead at a stakeholder capacity.
• Mentor junior engineers.

Skills

Python

Generative AI

Agentic AI

ML/DL/NLP

Transformer architectures

REST APIs

CI/CD

Containerization

Azure cloud services

Stakeholder engagement

Mentoring

Leadership

Education

Bachelor's or Master’s in Computer Science/Data Science/AI/Engineering

Tools

Azure

Docker

Kubernetes

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Pinecone

Azure ML

OpenAI

Job description

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:

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…. Learn more.

Are you ready to shape your future with confidence?

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…

Professional Development:

From entry‑level employees…

People & Culture:

In our dynamic workplace…

Benefits:

Embark on a transformative career journey with us…

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.