Manager, AI Risk & Validation
Deloitte•Jersey City, NJ
•$141,200 - $278,300•Onsite
About The Position
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.
Requirements
- 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
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a similar quantitative field
- 7+ years of experience developing, validating, or deploying AI, generative AI, or agentic AI solutions using Python and JavaScript
- Experience leading AI solution delivery, validation, or implementation workstreams in a client service or project-based environment
- 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 deploying or 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 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.
Nice To Haves
- Master’s degree in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a similar quantitative field
- Experience supporting generative AI or agentic AI 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 leading or contributing to responsible AI governance, controls, testing, or monitoring frameworks
- Experience contributing to proposals, thought leadership, reusable assets, or broader practice development efforts
- Experience developing AI methods or adapting emerging techniques beyond baseline framework implementation
Responsibilities
- Leading the design, build, implementation, and validation of artificial intelligence (AI), generative AI, and agentic AI solutions aligned to client business, risk, and regulatory objectives
- Managing project teams and workstreams 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
- Overseeing end-to-end validation of AI solutions, including data review, design assessment, testing strategy, benchmarking, sensitivity analysis, documentation, traceability, monitoring, and production-readiness evaluation
- Assessing trustworthiness and control considerations such as hallucination risk, grounding, bias, explainability, robustness, privacy, security, guardrails, escalation paths, and audit logging
- Translating technical findings and validation results into decision-ready recommendations for client stakeholders and engagement leadership
- Serving as a day-to-day client contact, managing stakeholder communications, identifying delivery risks and dependencies, and escalating issues as appropriate
- Reviewing and coaching the work of consultants and senior 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, status reporting, quality review, proposal support, and development of reusable methods or accelerators
Benefits
- Discretionary annual incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Manager
