We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.
Position SummaryWe are seeking a technically strong and analytically minded AI Risk Engineer to join our Technology Risk Consulting team. This role is designed for professionals with a solid academic foundation in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or related technical disciplines, combined with hands-on experience supporting AI-enabled products, platforms, or enterprise AI initiatives. The ideal candidate will have demonstrable experience working with global technology organizations or multinational enterprises and will be comfortable collaborating across cross-functional, geographically distributed teams. The role combines technical AI knowledge with risk and advisory thinking to help organizations adopt AI responsibly while managing governance, security, privacy, model performance, compliance, and responsible AI risks.
Key Responsibilities• Perform AI risk, AI governance, responsible AI, and AI assurance assessments across enterprise environments.
• Evaluate generative AI solutions, machine learning systems, AI agents, AI platforms, and third-party AI services for operational, security, privacy, regulatory, and ethical risks.
• Assess AI lifecycle processes, including data sourcing, model development, testing, validation, deployment, monitoring, change management, and retirement.
• Review controls related to bias, fairness, explainability, transparency, accountability, human oversight, model performance, security, and privacy.
• Analyze AI architectures, workflows, and technical implementations to identify risk exposures and practical mitigation strategies.
• Support enterprise AI inventory, use-case classification, risk assessment, approval, monitoring, and governance initiatives.
• Partner with Engineering, Product, Cybersecurity, Legal, Privacy, Compliance, Data, Risk, and business teams to evaluate AI risks and controls.
• Participate in client workshops and stakeholder interviews, translating technical AI concepts into clear business and risk implications.
• Prepare client-facing reports, risk assessments, executive summaries, and practical advisory recommendations.
• Contribute to AI risk methodologies, assessment accelerators, thought leadership, and global engagements delivered through onshore/offshore operating models.
Required Qualifications• Bachelor's or master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Software Engineering, Applied Mathematics, Computational Statistics, Data Analytics, or a closely related technical discipline.
• 4+ years of experience across AI, machine learning, data science, AI engineering, MLOps, AI platform engineering, Trust & Safety, product risk, technology risk, cybersecurity, model risk management, data governance, or related technology disciplines.
• Demonstrable experience developing, supporting, evaluating, monitoring, governing, or assessing AI-enabled products, machine learning solutions, or generative AI use cases in production environments.
• Strong understanding of generative AI, large language models, AI agents, retrieval-augmented generation, model evaluation, AI lifecycle management, and responsible AI principles.
• Working knowledge of AI risks including bias, fairness, explainability, privacy, security, robustness, model drift, human oversight, and third-party dependencies.
• Experience working with global firms in cross-functional and geographically distributed teams, including onshore/offshore delivery models.
• Strong written and verbal communication skills, with the ability to explain technical concepts to technical, business, and executive stakeholders.
• Demonstrated analytical, problem-solving, consultative, documentation, and stakeholder management skills.
Preferred Qualifications• Experience working for global technology companies, digital-first organizations, cloud providers, hyperscalers, AI product organizations, or large multinational enterprises.
• Experience supporting AI solutions at scale within production environments.
• Exposure to Microsoft Copilot, Azure AI, OpenAI, Anthropic, Google Vertex AI, AWS Bedrock, Databricks AI, Hugging Face, or similar enterprise AI technologies.
• Familiarity with NIST AI RMF, ISO/IEC 42001, responsible AI frameworks, AI Trust & Safety, AI governance, or AI assurance practices.
• Experience supporting AI governance programs, AI assurance reviews, AI safety assessments, model evaluations, third-party AI risk reviews, or model risk initiatives.
• AI or machine learning certification such as AIIA, AIGP, ISO/IEC 42001 Lead Implementer or Auditor, Microsoft Azure AI Engineer Associate, AWS Machine Learning, Google Professional Machine Learning Engineer, or equivalent.
• Working knowledge of AWS, Azure, or GCP and cloud-native AI services; exposure to cloud governance, IAM, cloud security, DevSecOps, Infrastructure as Code, or cloud resilience is an advantage.
• Prior experience within a Big 4, leading consulting organization, global technology company, or product engineering environment.
Success Profile• Strong AI and machine learning fundamentals supported by formal education and practical experience.
• Comfort navigating ambiguity in a rapidly evolving AI and regulatory environment.
• Ability to apply risk-based judgment and develop practical, business-focused solutions.
• Confidence working with engineering teams, business stakeholders, and executive audiences.
• Ability to thrive in client-facing, cross-functional, geographically distributed environments.
• A growth mindset and interest in AI governance, responsible AI, AI assurance, and emerging technology risk.
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 https://rsmus.com/careers/india.html.
RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.
Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at [email protected].
Skills Required
- Bachelor’s or master’s degree in artificial intelligence, machine learning, data science, computer science, software engineering, applied mathematics, computational statistics, data analytics, or a related technical discipline.
- 4+ years of experience in AI, machine learning, data science, AI engineering, MLOps, AI platform engineering, Trust & Safety, product risk, technology risk, cybersecurity, model risk management, data governance, or related technology disciplines.
- Experience developing, supporting, evaluating, monitoring, governing, or assessing AI-enabled products, machine learning solutions, or generative AI use cases in production.
- Strong understanding of generative AI, large language models, AI agents, retrieval-augmented generation, model evaluation, AI lifecycle management, and responsible AI principles.
- Working knowledge of AI risks including bias, fairness, explainability, privacy, security, robustness, model drift, human oversight, and third-party dependencies.
- Experience working with global firms in cross-functional and geographically distributed teams, including onshore/offshore delivery models.
- Strong written and verbal communication skills with the ability to explain technical concepts to technical, business, and executive stakeholders.
- Analytical, problem-solving, consultative, documentation, and stakeholder management skills.
- Experience with global technology companies, digital-first organizations, cloud providers, hyperscalers, AI product organizations, or large multinational enterprises.
- Experience supporting AI solutions at scale in production environments.
- Exposure to Microsoft Copilot, Azure AI, OpenAI, Anthropic, Google Vertex AI, AWS Bedrock, Databricks AI, Hugging Face, or similar enterprise AI technologies.
- Familiarity with NIST AI RMF, ISO/IEC 42001, responsible AI frameworks, AI Trust & Safety, AI governance, or AI assurance practices.
- Experience supporting AI governance programs, AI assurance reviews, AI safety assessments, model evaluations, third-party AI risk reviews, or model risk initiatives.
- AI or machine learning certification such as AIIA, AIGP, ISO/IEC 42001 Lead Implementer or Auditor, Microsoft Azure AI Engineer Associate, AWS Machine Learning, or Google Professional Machine Learning Engineer.
- Working knowledge of AWS, Azure, or GCP and cloud-native AI services; exposure to cloud governance, IAM, cloud security, DevSecOps, Infrastructure as Code, or cloud resilience.
- Prior experience within a Big Four or leading consulting organization, global technology company, or product engineering environment.
RSM US LLP Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RSM US LLP and has not been reviewed or approved by RSM US LLP.
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Parental & Family Support — Parental leave, caregiver leave, and family‑building assistance are standout strengths, including 12 weeks fully paid parental leave, six weeks paid family caregiver leave, up to $50,000 in fertility coverage, and up to $20,000 per child for adoption or surrogacy, plus backup care resources. These benefits create a family‑forward package that stands out within the firm’s total rewards.
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Leave & Time Off Breadth — Time‑off options are broad, with self‑managed PTO for associates and above, at least 14 paid holidays, and firm‑wide wellbeing days alongside hybrid work flexibility. This breadth is consistently presented as a strong component of the overall offering.
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Healthcare Strength — Medical coverage includes multiple plan designs (two HDHPs and a PPO), telehealth access, and a mental‑health platform offering up to eight free 1:1 sessions per year. Health benefits are characterized as solid to strong for the industry.
RSM US LLP Insights
What We Do
RSM is the leading provider of audit, tax and consulting services to the middle market. With over 11,000 employees across the U.S. and Canada and a global presence in 120 countries, our purpose is to deliver the power of being understood to our clients, colleagues and communities. As first-choice advisors, we are focused on developing leading professionals and innovative services to meet our clients’ evolving needs in today’s ever-changing business environment. Through a supportive, caring culture, our people are empowered to be their authentic selves and share their unique perspectives. Our culture of diversity and inclusion enhances the insights we provide while transforming innovation, collaboration and business results through fostering an inclusive environment, working hard to engage a talented workforce and reflect our diverse community, and developing relationships that serve others in business and the broader community. Together, our people’s individual talents and diverse perspectives strengthen our teams and enhances the unique insights that we provide to our clients. Through a supportive, caring culture, our people are empowered to be their authentic selves and share their unique perspectives. Our culture of diversity and inclusion enhances the insights we provide while transforming innovation, collaboration and business results through fostering an inclusive environment, working hard to engage a talented workforce and reflect our diverse community, and developing relationships that serve others in business and the broader community. Together, our people’s individual talents and diverse perspectives strengthen our teams and enhances the unique insights that we provide to our clients. For more information, visit rsmus.com.
