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Deloitte is seeking a Consultant, AI Risk & Validation to design, build, and validate AI solutions within the Regulatory, Risk & Forensic practice. You will work on generative and agentic AI, applying ML/NLP techniques, and ensure responsible AI practices while coordinating with specialists and clients.
Responsibilities include evaluating trustworthiness, leading project workstreams, and translating complex analyses into actionable findings for client delivery.
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.
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
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.
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
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
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com .
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
The 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 $86,700 to $170,900.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.