About this role
Summary: Designs, builds, and tests AI-powered solutions and AI agents that support business processes and decision-making. Works with stakeholders and technical teams to translate business requirements into practical, scalable AI solutions.
*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.*