Senior AI Engineer, Data Analytics Assurance

ERNST & YOUNG LLP; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Ernst & Young LLP is seeking a Senior AI Engineer to shape and deliver AI-enabled solutions for Assurance. You will work with product and engineering teams to translate business needs into practical AI requirements, providing technical direction and governance for scalable delivery.

You will guide AI adoption with a focus on quality, usability, and responsible implementation while staying aligned with regulatory expectations and enterprise risk management.

Qualifications

• 5+ years in AI, ML, data science, software engineering, or applied tech delivery.
• Hands-on experience building or evaluating AI-enabled enterprise solutions.
• Strong understanding of responsible AI, model governance, risk, and validation.

Responsibilities

• Lead exploration and application of emerging AI capabilities for Assurance use cases.
• Partner with product and engineering to translate business needs into AI requirements.
• Provide technical direction to development teams for AI design, build, test, and delivery.
• Support AI-enabled product development from concept through delivery with quality and scalability.
• Help define best practices for AI solution design, validation, monitoring, and improvement.
• Identify risks, dependencies, and challenges early with cross-functional teams.
• Advise stakeholders on AI adoption, governance, risk considerations, and implementation approaches.
• Stay current with AI market trends, regulatory expectations, and enterprise adoption patterns.
• Contribute to reusable methods, playbooks, and delivery governance for Assurance.

Skills

AI Engineering

Stakeholder management

Product thinking

Responsible AI

Senior AI

Job description

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