Manager, AI Risk & Validation

About the role

Our 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, 2026.

Responsibilities

• Leading complex AI risk, validation, and implementation engagements aligned to client business, risk, regulatory, and operational objectives
• Advising senior client stakeholders on the design, build, implementation, governance, and validation of artificial intelligence (AI), generative AI, and agentic AI solutions
• Directing 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 techniques
• Establishing 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 evaluation
• Evaluating trustworthiness and control considerations such as hallucination risk, grounding, bias, explainability, robustness, privacy, security, guardrails, escalation paths, and audit logging
• Translating technical findings, validation outcomes, and control observations into executive-ready recommendations for client stakeholders and engagement leadership
• Serving as a senior client contact and escalation point, managing stakeholder expectations, identifying delivery risks and dependencies, and driving timely resolution of issues
• Leading managers, senior consultants, and consultants to strengthen technical quality, delivery discipline, documentation, and responsible AI practices
• Collaborating with Deloitte specialists across risk, regulatory, technology, data science, and model validation disciplines to shape solution design, validation approaches, and delivery outcomes
• Supporting engagement management and practice development activities, including work planning, quality review, proposal development, market offerings, thought leadership, and reusable methods or accelerators
• Contributing 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 consistently

Skills

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to mentor and provide clear guidance to others

Qualifications

Required:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a similar quantitative field
• 10+ years of experience developing, validating, or deploying AI, generative AI, or agentic AI solutions using Python and JavaScript
• Experience leading complex AI solution delivery, validation, or implementation engagements in a client service or project-based environment
• Experience advising senior stakeholders on AI risk, responsible AI, model or solution validation, governance, controls, and production-readiness considerations
• Experience with generative AI tools and components such as Hugging Face, OpenAI application programming interfaces (APIs), Llama, Gemini, Claude, Granite, retrieval-augmented generation, or Stable Diffusion
• Experience 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/Keras
• Experience overseeing deployment of AI solutions on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including containerized environments using Docker or Kubernetes
• Experience managing engagement delivery, workplans, deliverables, quality reviews, stakeholder communications, and project risks or dependencies
• Experience translating model, AI, or system validation findings into clear documentation, reporting, and recommendations
• Limited immigration sponsorship may be available
• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve