Senior AI & Tech Risk Advisor

RSM US LLP

Dallas (TX)

On-site

USD 77,000 - 147,000

Full time

6 days ago

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Job summary

RSM US LLP is seeking an AI Risk Senior Associate in Technology Risk Advisory to strengthen clients' AI, technology, and cybersecurity risk capabilities. You will assess AI/GenAI systems, govern data controls, and contribute to risk frameworks in fast-moving environments.

The role blends hands-on technical work with structured risk thinking across model development concepts and regulatory expectations. The candidate will collaborate with engineering, data science, cybersecurity, model risk, and

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 problemsolving 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.

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.
CrossFunctional 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 highquality 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 stakeholderready reporting that simplifies complex AI and technology concepts.