Agentic AI Developer

The Opportunity as an Agentic AI Developer at EY

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 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. EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms, and advanced data analytics solution systems that help grow, optimize, and protect client organizations. We go beyond strategy and provide end-to-end design, build, and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers, and consultants in the region. We are looking for an Agentic AI Developer within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.

Your Key Responsibilities

• Build end-to-end Gen AI solutions, developing, refining, and implementing advanced Gen AI models to ensure successful project delivery.
• Lead the integration of Large Language Models (LLMs) and LangChain into business processes.
• Utilize Python and other data manipulation languages proficiently for data preparation and manipulation.
• Understand business requirements and translate them into successful Gen AI solution designs that meet business objectives.
• Collaborate with stakeholders, presenting findings to non-technical audiences and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

Skills and Attributes For Success

• Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches.
• Agentic AI / Generative AI solution design and implementation expertise.
• Exceptional communication, documentation, presentation skills, and stakeholder management experiences.

To Qualify For The Role, You Must Have

• Min Bachelor’s degree in Computer Science, Mathematics, Engineering, Statistics, or a related field.
• At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.

What We Look For

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What We Offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

• 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.

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• LangChain
• Python
• Machine Learning
• Data Mining
• Predictive Modeling
• Agile Methodologies
• Solution Design
• Stakeholder Management