Agile - EY - GDS Consulting - AIA - AI Engineer - senior manager

EY; Chennai; On-site; INR 4,200,000 - 6,400,000; Full time

Benefits offered by this job

Continuous learning

Career growth opportunities

Diverse and inclusive culture

Job summary

EY Global Delivery Services seeks an AI Architect (GenAI/Agentic) with extensive experience to lead design, implementation, and deployment of AI capabilities across major clouds. You will collaborate with clients, translate complex requirements into scalable architectures, and mentor engineers in best practices.

The role emphasizes staying at the forefront of AI trends, building POCs/POVs, and delivering value through synthetic intelligence across banking and capital markets use cases.

Qualifications

• 15+ years of professional experience with 5–8 years building AI solutions on cloud or on‑premises.
• Experience designing Agentic/Generative AI architectures and related AI/ML infrastructure.
• Strong programming in Python; ability to write scalable, tested code.

Responsibilities

• Design and implement Agentic AI/Gen AI applications across Azure, AWS, and GCP.
• Collaborate with clients to translate requirements into robust, scalable solutions.
• Contribute to architectures for industry use cases and AI/ML models.
• Design data pipelines and ML models with data engineers/scientists.
• Set engineering best‑practice standards and mentor teams.

Skills

Agentic AI

GenAI

Cloud architecture

Python

ML/AI deployment

Kubernetes

Security in ML

LLMOps

Education

BTech/Masters/PhD

Tools

Azure

AWS

GCP

Databricks

OpenAI Azure/AWS Bedrock

Terraform

Job description

Other locations: Primary Location Only

Senior Manager

Department: Technology Consulting, AI and Data

AI Architect (GenAI/AI Banking and Capital Markets)

• BTech/Masters/PhD

The opportunity

We are seeking an experienced AI Architect with over 15 years of professional experience. He needs to be passionate about AI, Agentic and automation. With a deep understanding of Agentic AI including deploying Agentic systems in production, data processing, data structure, algorithms, machine learning the AI Architect will develop and implement the AI capabilities and solutions.

Your key responsibilities

• Design and implement Agentic AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
• Collaborate with clients & stakeholders to translate business and functional requirements into robust, scalable, operable solutions.
• Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for Agentic AI, Generative AI and AI/ML
• Collaborate with data engineers & data scientists in designing data pipelines & AI/ML models.
• Set the standards for engineering best practices.
• Identify opportunities where generative AI can provide value and solve business problems.
• Responsible for creating POCs and POVs across horizontals and industry use cases.
• Write high-quality, efficient, testable code in Python.
• Stay up to date with the latest AI trends and evaluate state-of-the-art AI technologies/framework to drive innovation.
• Facilitate design and architecture workshops and mentor AI engineers in coding best practices and problem-solving.

Skills and Attributes:

Professional Experience

• A minimum of 15 years of professional experience and around 5-8 years in building and deploying AI solutions on-premises or on cloud platforms.

Educational Background

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.

Technical Skills

• Experience in providing the Agentic AI, Generative AI, MLOps, LLMOps and AgentOps Architecture design
• Experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.
• Experience in using and orchestrating LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI
• Experience in writing SQL and data modelling.
• Experience in designing and implementation of AI solution using microservice based architecture.
• Understanding of machine learning, deep learning, NLP and GenAI.
• Strong programming skills in Python and/or pyspark.
• Proven experience in integrating authentication security measures within machine learning operations and applications.
• Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
• Familiarity with MLOps/ LLMOps and Agent Ops concepts and tech stack. Experience in code versioning, MLFlow, batch prediction and real-time end point workflows.
• Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
• Experience with responsible AI concepts

Soft Skills

• Excellent problem-solving skills and ability to connect AI capabilities to business value.
• Strong communication and presentation skills.

Other Responsibilities:

• Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining.
• Ensuring the solutions meet the client requirements and expectations.
• Communicate effectively with the clients and internal stakeholders throughout the project.
• Identify new opportunities and generate proposals for potential clients.
• Present the solutions and showcase the value proposition to senior stakeholders.

Why Join Us

• Be at the forefront of AI-driven innovation across multiple client sectors.
• Work with global clients to drive real business impact.
• Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.