Senior AI Engineer, Data Analytics Assurance
Summary
Senior AI Engineer at EY Singapore shaping AI-enabled solutions for the Assurance (audit) business — exploring generative AI/LLM capabilities, giving technical direction to engineering teams, and driving responsible, well-governed AI adoption across enterprise audit workflows.
We are looking for a Senior AI Engineer to help shape and deliver next-generation AI-enabled solutions for Assurance. This role is ideal for a senior AI professional who combines strong technical expertise with product thinking, stakeholder management, and a practical understanding of responsible AI adoption in enterprise environments.
What You'll Do
- Lead the exploration and application of emerging AI capabilities for Assurance use cases
- Partner with product and engineering teams to translate business needs into practical AI solution requirements
- Provide technical direction to development teams, helping ensure AI solutions are designed, built, tested, and delivered effectively
- Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
- Help define good practices for AI solution design, validation, monitoring, and continuous improvement
- Work with cross-functional teams to identify risks, dependencies, and implementation challenges early
- Advise internal stakeholders and clients on AI adoption, including common challenges, risk considerations, governance expectations, and practical implementation approaches
- Stay current with AI market developments, technology trends, regulatory expectations, and enterprise adoption patterns
- Contribute to reusable methods, playbooks, and delivery practices that help scale AI adoption across Assurance
- Act as a bridge between AI strategy, product priorities, engineering execution, and business outcomes
What We're Looking For
- 5+ years of experience in AI, machine learning, data science, software engineering, or applied technology delivery
- Hands-on experience developing, evaluating, or implementing AI-enabled solutions in enterprise environments
- Strong understanding of generative AI, large language models, AI-enabled workflows, or applied machine learning solutions
- Experience working with product and engineering teams to turn complex ideas into practical, deliverable solutions
- Strong understanding of responsible AI, model quality, validation, governance, risk management, and control considerations
- Ability to guide technical teams while maintaining a strong focus on business value and user outcomes
- Strong communication skills, with the ability to explain AI concepts, risks, and trade-offs to technical and non-technical stakeholders
- A practical mindset, with the ability to balance innovation, delivery speed, quality, compliance, and long-term scalability.
Nice to Have
- Experience in Assurance, audit, risk, compliance, financial services, professional services, or regulated enterprise environments
- Experience advising clients or senior stakeholders on AI adoption, AI risk, governance, or technology transformation
- Experience working with distributed engineering teams
- Familiarity with cloud-based AI platforms, enterprise AI tools, or modern AI development frameworks
- Experience contributing to AI product strategy, delivery governance, testing approaches, or implementation standards
What Success Looks Like
- Help shape practical and scalable AI solutions for Assurance
- Guide engineering teams toward high-quality delivery outcomes
- Translate emerging AI capabilities into clear business value
- Support responsible and well-governed AI adoption
- Help stakeholders and clients understand AI opportunities, risks, and implementation considerations
- Improve how AI-enabled products are designed, tested, delivered, and adopted
- Contribute to solutions that help transform the future of Assurance.
About You
- You are a senior AI professional with strong technical judgment, product instincts, and a responsible innovation mindset
- You are excited by the potential of AI, but you understand that enterprise adoption requires trust, quality, governance, and practical execution
- You are comfortable working across strategy, product, engineering, risk, and client-facing discussions
- You can guide teams through ambiguity, simplify complex AI topics, and help turn emerging technology into meaningful business outcomes