Senior AI Engineer, Data Analytics Assurance

Job description

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. The Opportunity 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. You will work closely with product, engineering, assurance, and technology teams to help guide the development of scalable, reliable, and trusted AI solutions. You will also play an important role in advising internal teams and clients on emerging AI practices, implementation considerations, and responsible adoption. 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 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.