Consultant, AI Risk & Validation

Deloitte France; Los Angeles (CA); On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte is seeking a Consultant for AI Risk & Validation to help design, validate, and govern AI solutions for clients. You’ll work on AI/LLM deployments, evaluation of risk factors like bias and hallucination, and collaboration with Deloitte specialists to strengthen solution design and responsible AI practices.

Qualifications include a CS/DS/AI degree and 2+ years with Python and JavaScript, plus experience with AWS/Azure/GCP, Docker/Kubernetes, and modern AI tools. Travel ~20% is expected.

Qualifications

• Bachelor’s degree in a quantitative field (CS/DS/AI/Applied Math).
• 2+ years building or supporting AI/LLM solutions using Python and JavaScript.
• Experience with generative AI tools and components (Hugging Face, OpenAI, Llama, Gemini, Claude, Stable Diffusion).
• Experience with model risk management, validation, monitoring, or reporting for AI.ability to travel 20% on average.

Responsibilities

• Design, build, implement and deliver AI/AI governance solutions under project leadership.
• Develop proofs of concept and experiments using ML, NLP, image/time-series analysis and retrieval methods.
• Perform AI solution validation activities including data review, testing support and documentation.
• Evaluate trustworthiness: hallucinations, grounding, bias, explainability, privacy and security.
• Translate technical findings into clear recommendations and support project delivery.

Skills

Effective written communication

Verbal communication

Independence

Team collaboration

Project leadership

Time management

Relationship building

Attention to detail

Deadline-driven

Education

Bachelor's in CS/Data Science/AI/Applied Math

Master's in CS/Data Science/AI (preferred)

Tools

Python

JavaScript

Hugging Face

OpenAI API

Llama

Gemini

Claude

Granite

Retrieval-Augmented Generation

Stable Diffusion

LangChain

LangGraph

AutoGen

Semantic Kernel

CrewAI

PyTorch

TensorFlow

Keras

Docker

Kubernetes

AWS

Azure

GCP

Job description

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

  Recruiting for this role ends on December 15, 2026.

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

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 [e-mail] .

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.