Role Overview

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.

Key Responsibilities

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

Required Experience & Qualifications

• 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.

Preferred Qualifications

• 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.

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at .

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.