Technology Risk Advisory - AI Risk Senior Associate

RSM•Chicago, IL

About The Position

The Technology Risk Advisory - AI Risk Senior Associate will play a key role in helping clients strengthen their technology, AI, and cybersecurity risk capabilities. You’ll support the design, assessment, and governance of AI and GenAI systems, evaluate cloud and data controls, and contribute to emerging risk frameworks that keep pace with rapid innovation. This role blends hands‑on technical exposure with structured risk thinking—ideal for someone who can navigate both model development concepts and regulatory expectations.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, Risk, or related field.
2–5 years supporting delivery of technology solutions, with exposure to AI/ML or GenAI and experience in risk, compliance, audit, or regulated environments.
Working knowledge of modern ML/GenAI stacks (Python, model development frameworks, embeddings, RAG concepts).
Hands‑on contribution to model development, evaluation, or implementation.
Experience assessing or implementing AI systems on cloud platforms (IAM, encryption, data governance, environment controls).
Solid understanding of software engineering fundamentals: APIs, data pipelines, testing, version control, CI/CD exposure.
Ability to translate technical design into risk and control implications with guidance.
Experience supporting AI governance and model risk documentation.
Strong analytical and problem‑solving skills with the ability to structure ambiguous problems.
Consulting fundamentals: requirement gathering, task management, coordination across teams.
Effective communicator able to translate technical concepts into clear business and risk language.

Nice To Haves

Certifications such as AAIA, AAISM, AIGP, CISA, CISSP, CCSP, CRISC, or AI‑focused credentials.
Experience with AI risk frameworks, responsible AI principles, or cloud compliance programs.

Responsibilities

Support and execute risk and compliance assessments for AI/ML and GenAI systems, including model lifecycle controls, data governance, and responsible AI considerations.
Evaluate IT, cloud, and data environment controls (IAM, encryption, logging, monitoring, network segmentation).
Contribute to model documentation, testing artifacts, lineage tracking, and change management for AI systems.
Support assessments related to GenAI, automation, cloud-native architectures, and digital transformation initiatives.
Apply understanding of APIs, data pipelines, testing, and version control to evaluate technical risk.
Work with engineering, data science, cybersecurity, model risk, and audit teams across the 1st and 2nd lines of defense.
Support workplans, manage assigned tasks, gather requirements, and contribute to high‑quality client deliverables.
Translate technical design elements (data flows, model behavior, system architecture) into clear risk considerations.
Prepare documentation, assessment outputs, and stakeholder‑ready reporting that simplifies complex AI and technology concepts.