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

EY; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

EY is seeking an experienced AI Architect with 15+ years of experience to design and implement Agentic AI/Gen AI solutions across major clouds. The role involves collaborating with stakeholders, leading architecture decisions, and mentoring AI engineers in best practices.

Responsibilities include building data pipelines and AI/ML models, staying current with AI trends, and driving innovation with state-of-the-art technologies. This role requires strong Python skills and cloud experience.

Qualifications

• 15+ years of professional experience in AI/GenAI architecture.
• Experience deploying Agentic AI and GenAI in production.
• Experience across Azure, AWS and GCP cloud platforms.

Responsibilities

• Design and implement Agentic AI/Gen AI applications and infrastructure across major clouds.
• Translate business requirements into robust, scalable AI/ML solutions.
• Lead architecture decisions and design AI/ML architectures for enterprise use cases.

Skills

GenAI

Cloud架构

MLOps

AgentOps

Kubernetes

Python

AI/ML

Data pipelines

Education

BTech/Masters/PhD

Tools

Azure

AWS

GCP

Databricks

OpenAI on Azure

GitHub Actions

Jenkins

Terraform

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.

Title

AI Architect (GenAI/AI Banking and Capital Markets)

Educational qualification

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.