Consultant, AI Risk & Validation

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. Work you'll do As a Consultant Risk and Forensic on the Regulatory & Financial Risk team, you will be responsible for: • Supporting the design, build, implementation and delivery of artificial intelligence, generative artificial intelligence, and agentic artificial intelligence solutions under the direction of project leadership • Developing proofs of concept, experiments, and application components using machine learning, natural language processing, image analysis, time series analysis, graph-based methods, and retrieval-augmented generation techniques • Performing AI solution validation activities, including data review, design assessment, testing support, benchmarking, sensitivity analysis, documentation, traceability, monitoring, and production-readiness assessment • Evaluating trustworthiness and control considerations such as hallucination risk, grounding, bias, explainability, robustness, privacy, security, guardrails, escalation paths, and audit logging • Translating technical analysis into clear findings and recommendations, supporting project delivery, and collaborating with Deloitte specialists to strengthen solution design, validation approaches, and responsible AI practices The successful candidate would possess these 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 provide clear guidance to others The team Our 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. Qualifications Required: • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a similar quantitative field • 2+ years of experience developing or supporting artificial intelligence, generative artificial intelligence, or agentic artificial intelligence solutions using Python and JavaScript • Experience with generative artificial intelligence tools and components such as Hugging Face, OpenAI application programming interfaces, Llama, Gemini, Claude, Granite, retrieval-augmented generation, or Stable Diffusion • Experience with agentic artificial intelligence frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI, and at least one deep learning framework such as PyTorch or TensorFlow/Keras • Experience supporting the deployment of AI solutions on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including containerized environments using Docker or Kubernetes • 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 Preferred: • Master's degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a similar quantitative field • Experience supporting generative artificial intelligence or agentic artificial intelligence solutions in production environments • Experience training, fine-tuning, or evaluating deep learning models • Experience with model risk management, model validation, monitoring, documentation, or reporting for AI-enabled solutions • Experience serving Financial Services clients • Experience developing AI methods or adapting emerging techniques beyond baseline framework implementation