Manager, AI Risk & Validation

Senior Manager, AI Risk & ValidationOur Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.Recruiting for this role ends on December 15, 2026Work you’ll doAs a Senior Manager in Risk and Forensic on the Regulatory & Financial Risk team, you will be responsible for:Leading complex AI risk, validation, and implementation engagements aligned to client business, risk, regulatory, and operational objectivesAdvising senior client stakeholders on the design, build, implementation, governance, and validation of artificial intelligence (AI), generative AI, and agentic AI solutionsDirecting multidisciplinary teams that develop proofs of concept, experiments, and production-ready applications using machine learning, natural language processing, image analysis, time series analysis, graph-based methods, and retrieval-augmented generation techniquesEstablishing and overseeing end-to-end validation approaches for AI-enabled solutions, including data review, design assessment, testing strategy, benchmarking, sensitivity analysis, documentation, traceability, monitoring, and production-readiness evaluationEvaluating trustworthiness and control considerations such as hallucination risk, grounding, bias, explainability, robustness, privacy, security, guardrails, escalation paths, and audit loggingTranslating technical findings, validation outcomes, and control observations into executive-ready recommendations for client stakeholders and engagement leadershipServing as a senior client contact and escalation point, managing stakeholder expectations, identifying delivery risks and dependencies, and driving timely resolution of issuesLeading managers, senior consultants, and consultants to strengthen technical quality, delivery discipline, documentation, and responsible AI practicesCollaborating with Deloitte specialists across risk, regulatory, technology, data science, and model validation disciplines to shape solution design, validation approaches, and delivery outcomesSupporting engagement management and practice development activities, including work planning, quality review, proposal development, market offerings, thought leadership, and reusable methods or acceleratorsContributing to the growth of Deloitte’s AI risk and validation capabilities by identifying emerging trends, developing repeatable approaches, and helping teams apply responsible AI practices consistentlyThe successful candidate would possess these skills:Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationships Ability to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanor Ability to meet deadlinesAbility to mentor and provide clear guidance to othersThe teamOur Regulatory & Financial Risk offering supports clients' regulatory and compliance needs, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and a focus on business-as-usual sustainability across processes, controls, and data & analytic infrastructures.QualificationsRequired:Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a similar quantitative field10+ years of experience developing, validating, or deploying AI, generative AI, or agentic AI solutions using Python and JavaScriptExperience leading complex AI solution delivery, validation, or implementation engagements in a client service or project-based environmentExperience advising senior stakeholders on AI risk, responsible AI, model or solution validation, governance, controls, and production-readiness considerationsExperience with generative AI tools and components such as Hugging Face, OpenAI application programming interfaces (APIs), Llama, Gemini, Claude, Granite, retrieval-augmented generation, or Stable DiffusionExperience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI, and at least one deep learning framework such as PyTorch or TensorFlow/KerasExperience overseeing deployment of AI solutions on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including containerized environments using Docker or KubernetesExperience managing engagement delivery, workplans, deliverables, quality reviews, stakeholder communications, and project risks or dependenciesExperience translating model, AI, or system validation findings into clear documentation, reporting, and recommendationsLimited immigration sponsorship may be availableAbility to travel 20%, on average, based on the work you do and the clients and industries/sectors you servePreferred:Master’s degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a similar quantitative fieldExperience leading generative AI or agentic AI solutions in production environmentsExperience training, fine-tuning, or evaluating deep learning modelsExperience with model risk management, model validation, monitoring, documentation, or reporting for AI-enabled solutionsExperience serving Financial Services clientsExperience leading or contributing to responsible AI governance, controls, testing, or monitoring frameworksExperience leading proposal development, thought leadership, reusable assets, or broader practice development effortsExperience developing AI methods or adapting emerging techniques beyond baseline framework implementationExperience leading multidisciplinary teams across risk, regulatory, technology, data science, engineering, and model validation disciplinesThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.