Senior AI Engineer, Data Analytics Assurance

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 DoLead the exploration and application of emerging AI capabilities for Assurance use casesPartner with product and engineering teams to translate business needs into practical AI solution requirementsProvide technical direction to development teams, helping ensure AI solutions are designed, built, tested, and delivered effectivelySupport the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementationHelp define good practices for AI solution design, validation, monitoring, and continuous improvementWork with cross-functional teams to identify risks, dependencies, and implementation challenges earlyAdvise internal stakeholders and clients on AI adoption, including common challenges, risk considerations, governance expectations, and practical implementation approachesStay current with AI market developments, technology trends, regulatory expectations, and enterprise adoption patternsContribute to reusable methods, playbooks, and delivery practices that help scale AI adoption across AssuranceAct as a bridge between AI strategy, product priorities, engineering execution, and business outcomesWhat We're Looking For5+ years of experience in AI, machine learning, data science, software engineering, or applied technology deliveryHands-on experience developing, evaluating, or implementing AI-enabled solutions in enterprise environmentsStrong understanding of generative AI, large language models, AI-enabled workflows, or applied machine learning solutionsExperience working with product and engineering teams to turn complex ideas into practical, deliverable solutionsStrong understanding of responsible AI, model quality, validation, governance, risk management, and control considerationsAbility to guide technical teams while maintaining a strong focus on business value and user outcomesStrong communication skills, with the ability to explain AI concepts, risks, and trade-offs to technical and non-technical stakeholdersA practical mindset, with the ability to balance innovation, delivery speed, quality, compliance, and long-term scalability. Nice to HaveExperience in Assurance, audit, risk, compliance, financial services, professional services, or regulated enterprise environmentsExperience advising clients or senior stakeholders on AI adoption, AI risk, governance, or technology transformationExperience working with distributed engineering teamsFamiliarity with cloud-based AI platforms, enterprise AI tools, or modern AI development frameworksExperience contributing to AI product strategy, delivery governance, testing approaches, or implementation standardsWhat Success Looks LikeHelp shape practical and scalable AI solutions for AssuranceGuide engineering teams toward high-quality delivery outcomesTranslate emerging AI capabilities into clear business valueSupport responsible and well-governed AI adoptionHelp stakeholders and clients understand AI opportunities, risks, and implementation considerationsImprove how AI-enabled products are designed, tested, delivered, and adoptedContribute to solutions that help transform the future of Assurance.About YouYou are a senior AI professional with strong technical judgment, product instincts, and a responsible innovation mindsetYou are excited by the potential of AI, but you understand that enterprise adoption requires trust, quality, governance, and practical executionYou are comfortable working across strategy, product, engineering, risk, and client-facing discussionsYou can guide teams through ambiguity, simplify complex AI topics, and help turn emerging technology into meaningful business outcomes