AI Solutions Developer, Associate/ Senior Associate at EY · Singapore

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.

We’re all in, are you?

Join EY and shape your future with confidence.

Role Overview

We are seeking a motivated and analytically driven Associate AI Solutions Developer (early career) to support the design, development, and deployment of AI-powered solutions that enhance business processes and decision-making.

This role sits at the intersection of business, data, and AI engineering, offering hands-on exposure to enterprise AI applications. You will work closely with stakeholders and technical teams to translate business requirements into practical, scalable AI solutions.

Key Responsibilities:

1. AI Agent Design & Development

• Assist in designing, building, and configuring AI agents using tools such as Copilot Studio and related platforms
• Support development of agent logic, workflows, and human-in-the-loop escalation mechanisms
• Contribute to prompt engineering, including managing context, memory, and tool interactions

2. Integration & Automation

• Support integration of AI solutions with enterprise systems (e.g., Microsoft 365, Power Platform, APIs, databases)
• Assist in connecting AI agents to structured and unstructured data sources using retrieval-based methods (e.g., RAG)
• Contribute to automation of workflows and business processes using AI solutions

3. Testing, Optimization & Deployment

• Participate in testing AI solutions using real-world scenarios and defined use cases
• Support monitoring of performance (accuracy, reliability, adoption) and identify opportunities for improvement
• Assist in deploying and maintaining solutions in production environments

4. Stakeholder Collaboration & Business Alignment

• Work with business users to understand requirements and identify automation opportunities
• Translate business needs into functional workflows with guidance from senior team members
• Collaborate with cross-functional teams (data, engineering, product) on project delivery

5. Governance, Risk & Documentation

• Ensure solutions adhere to enterprise security, governance, and compliance standards
• Document workflows, configurations, and user guides to support adoption and scalability

Skills & Qualifications

Technical Capabilities

• Basic proficiency in Python, SQL, or similar programming languages
• Understanding of IT Infrastructure and cloud architecture, including Microsoft Azure, networking and system integration, identity access management, security and the infrastructure concept required to support AI agents and enterprise applications
• Familiarity with Generative AI / LLM tools (e.g., OpenAI, Azure OpenAI, Copilot Studio)
• Foundational understanding of APIs, data integration, and automation workflows
• Awareness of prompt engineering concepts and AI application design
• Exposure to Microsoft Power Platform (Power Automate, Dataverse preferred)
• Basic understanding of RAG, vector databases, or AI orchestration frameworks is a plus
• Basic understanding of AI Agent concepts, is a plus
• Basic understanding of MCP, tool call/function call of LLM, is a plus

Business & Analytical Skills

• Strong analytical thinking and problem-solving abilities
• Basic understanding of how AI solutions support business processes and decision-making
• Exposure to data analytics or BI tools (Power BI preferred) is advantageous

Soft Skills

• Good communication and stakeholder engagement skills
• Ability to explain technical concepts in a clear, simple manner
• Proactive, curious mindset with eagerness to learn emerging AI technologies
• Strong attention to detail and willingness to take ownership of tasks

Experience & Education Requirements

• 1–2 years of experience in AI, data, automation, or technology-related roles (including internships or academic projects)
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field
• Hands-on project experience involving AI, automation, or data solutions is highly desirable

Success Metrics

• Quality and accuracy of AI solutions developed
• Contribution to successful delivery of AI use cases
• Adoption and usability of deployed solutions
• Ability to learn quickly and apply new AI tools and techniques effectively
• Collaboration effectiveness with stakeholders and team members

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.