EY - GDS Consulting - AIA - Agentic AI Engineer - Staff

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. 

 

 

 

 

AIA – Agentic AI/Gen AI

 

The opportunity

 

EY GDS is seeking a motivated, hands-on, and quality-focused Agentic AI & Generative AI Staff to join our AI team. The ideal candidate will have basic experience in the Banking domain and practical exposure to developing AI, GenAI, and Agentic AI applications. As an Agentic AI & Gen AI Staff, you will support the development, testing, deployment, and maintenance of AI-powered solutions across banking processes. The role requires working knowledge of Python, SQL, Azure AI Services, Azure OpenAI, RAG, prompt engineering, AI agents, and modern development practices. The candidate should be comfortable collaborating with seniors, managers, architects, data scientists, and engineering teams to deliver reliable and reusable AI components.

 

 

Your key responsibilities

 

• Support the development and implementation of Generative AI, Agentic AI, and AI solutions for Banking use cases under the guidance of senior team members and managers.
• Convert functional requirements into basic AI components, prompts, APIs, scripts, workflows, and reusable development modules.
• Build and enhance LLM-powered features, RAG pipelines, simple AI agents, document processing flows, and automation components.
• Work with data scientists, AI engineers, senior developers, and banking domain stakeholders to develop and test AI solution components.
• Contribute to banking-focused AI solutions for customer support, document intelligence, onboarding support, KYC/AML assistance, lending support, fraud checks, and operations automation.
• Use Azure AI Services, Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, and Azure DevOps to support AI application development and deployment.
• Develop simple agentic workflows using basic orchestration concepts and frameworks such as LangGraph, LangChain, CrewAI, Microsoft Agent Framework, or similar tools.
• Support data preparation, prompt testing, vector indexing, retrieval workflows, model integration, unit testing, debugging, and performance improvements.
• Follow coding standards, secure development practices, Responsible AI basics, documentation guidelines, and project delivery processes.
• Participate in agile ceremonies, sprint tasks, code reviews, issue fixing, deployment support, and application monitoring activities.
• Prepare technical documentation, implementation notes, test results, and reusable code snippets for AI and GenAI solutions.
• Learn emerging GenAI, Agentic AI, Azure AI Services, LLMOps basics, and software engineering practices relevant to Banking.
• Share development progress, demos, blockers, and test outcomes with internal teams and project stakeholders.
• Support peers through knowledge sharing and basic technical guidance.

 

 

Skills and Attributes:

 

Professional Experience

 

• 2–4 years of experience in Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Data Science, software engineering, or AI application development.
• Hands-on experience in building AI / analytics / software solutions, preferably within the Banking domain.
• Exposure to developing LLM-based features, RAG components, simple AI agents, APIs, cloud-based services, and reusable AI workflows.
• Experience working in development teams and collaborating with senior developers, data scientists, engineers, and business stakeholders.

 

Educational Background

 

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related quantitative field.
• Certifications in Azure AI, Azure Fundamentals, Generative AI, Machine Learning, Cloud Technologies, or Agentic AI are preferred.

 

 

Technical Skills

 

Agentic AI & Generative AI

• Hands-on experience with Generative AI, LLM applications, prompt engineering, RAG, simple AI, AI copilots, workflow automation, and GenAI solution development.

 

Microsoft Azure AI Ecosystem (Mandatory)

• Working knowledge of Azure AI Services, Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Machine Learning, Azure DevOps, and Azure-based deployment practices.

 

Agentic AI Frameworks

• Exposure to developing simple AI agents and orchestration workflows using LangGraph, LangChain, CrewAI, Microsoft Agent Framework, or similar agentic AI tools.

 

AI/ML & Data Science

• Understanding of Machine Learning, NLP, Generative AI, data preprocessing, embeddings, vector search, model evaluation, and monitoring concepts.

 

Banking Expertise

• Understanding of Banking processes such as customer onboarding, KYC/AML, lending, fraud detection, compliance support, customer service, operations, and risk management.

 

Programming & Cloud

• Good proficiency in Python and SQL, with exposure to APIs, cloud services, Azure AI tools, and optional knowledge of PyTorch, TensorFlow, AWS Bedrock, or GCP Vertex AI.

 

Software Engineering & AI Operations

• Experience with API development basics, Git, CI/CD fundamentals, Agile methodologies, testing, debugging, documentation, and basic MLOps / LLMOps practices.

 

Product & Solution Development

• Understanding of the AI solution lifecycle including requirement understanding, development, testing, deployment support, monitoring, documentation, security, and Responsible AI basics.

 

 

Soft Skills

 

• Good communication, collaboration, and learning mindset.
• Ability to understand technical requirements and convert them into development tasks with guidance.
• Strong problem-solving approach with attention to code quality, testing, and documentation.
• Ability to work effectively in agile teams and collaborate with cross-functional technology and business teams.
• Willingness to learn GenAI, Agentic AI, Azure AI Services, and modern AI development practices.

 

 

Key Responsibilities

 

• Develop and support GenAI, Agentic AI, RAG, AI Copilot, and LLM-powered components for Banking clients using Azure AI Services and modern development practices.
• Build prompts, APIs, simple AI agents, vector search components, workflows, and integration modules using Azure OpenAI, Azure AI Foundry, LangGraph, LangChain, CrewAI, and Microsoft Agent Framework.
• Support solution delivery activities including requirement understanding, development, unit testing, debugging, deployment support, documentation, and monitoring.
• Collaborate with seniors, managers, data scientists, engineers, and business teams to convert banking use cases into working AI solution components.
• Follow Responsible AI basics, security guidelines, coding standards, model testing, documentation, and delivery processes during solution development.
• Contribute to demos, reusable code components, technical notes, code reviews, agile tasks, and continuous improvement of AI development practices.

 

 

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.