Position SummaryRSM is seeking an AI Consulting Engineer to help clients deploy, secure, adopt, and scale enterprise AI solutions. This role combines technical consulting, AI assistant deployment, managed service delivery, client enablement, and hands-on solution development.
The AI Consulting Engineer will deploy and support cross-platform AI assistants, including Microsoft Copilot and Claude; perform tenant, identity, data, and security readiness activities; build AI agents and automations; and assist clients using RSM's Managed AI platform. The role partners closely with AI Platform Engineering, Security, and Advisory teams to move clients from experimentation to governed, production-ready AI adoption.
Essential Duties and ResponsibilitiesAI Assistant Deployment and Readiness
- Deploy, configure, and support enterprise AI assistants, including Microsoft Copilot and Claude.
- Assess client readiness across Microsoft 365 or other relevant environments, identity, access, security, data, licensing, governance, and change management.
- Assist with rollout planning, user onboarding, configuration, knowledge sources, connectors, access controls, and platform settings.
- Help clients establish secure, scalable, and supportable operating practices for AI assistants.
Managed AI Services
- Support clients operating on RSM's Managed AI platform through onboarding, administration, monitoring, troubleshooting, and continuous improvement.
- Review usage, adoption, security, and operational information to identify risks and optimization opportunities.
- Coordinate issue resolution and enhancements across clients, RSM delivery teams, platform engineering, and technology vendors.
- Maintain implementation documentation, operating procedures, and client-facing recommendations.
AI Agents, Automations, and Applications
- Build and customize AI agents, assistants, automations, and lightweight applications that address client business needs.
- Use Copilot Studio, APIs, integration tools, low-code platforms, and AI-assisted development tools such as Claude Code or GitHub Copilot, as appropriate.
- Create rapid prototypes, test solutions with users, and refine them based on feedback and measurable outcomes.
- Partner with AI Platform Engineering to transition successful prototypes into secure, scalable enterprise applications.
- Client Enablement and Consulting
- Lead or support client workshops, discovery sessions, training, office hours, and adoption activities.
- Translate business needs into practical AI use cases, deployment plans, and technical requirements.
- Communicate technical concepts clearly to business, IT, security, and executive stakeholders.
- Promote responsible AI practices and help clients use AI tools effectively and safely.
Minimum Qualifications- Bachelor's degree in information systems, computer science, engineering, business technology, or a related field, or equivalent practical experience.
- Experience in technology consulting, cloud services, enterprise applications, IT administration, digital transformation, or AI solution delivery.
- Hands-on experience with at least one enterprise AI assistant, cloud platform, collaboration suite, identity platform, or AI development tool.
- Working knowledge of identity and access management, security, governance, enterprise application deployment, and technical troubleshooting.
- Ability to learn new platforms quickly and work across business and technical disciplines.
- Strong client-facing communication, facilitation, documentation, and problem-solving skills.
- Ability to manage priorities and contribute effectively in a consulting and managed-services environment.
Prefer Qualificationsred- Experience deploying or supporting Microsoft Copilot, Claude, Microsoft 365, Azure, Entra ID, AWS, or comparable enterprise platforms.
- Familiarity with tenant readiness, data protection, security assessments, compliance, responsible AI, and adoption planning.
- Exposure to AI agents, APIs, integrations, automation, prompt design, or AI-assisted software development.
- Familiarity with Copilot Studio, Power Automate, Power Apps, or another low-code platform. Deep Power Platform expertise is not required.
- Experience in consulting, customer success, solution engineering, or managed services.
- Relevant Microsoft, AWS, security, cloud, or AI certifications.
- Core Competencies
- Client service and relationship building
- Technical curiosity and continuous learning
- Structured problem solving
- Clear written and verbal communication
- Security and governance mindset
- Collaboration across multidisciplinary teams
- Ownership and operational discipline
- Adaptability in emerging technologies
At RSM, we offer a competitive benefits and compensation package for all our people. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.
We believe flexibility and in-person connection both play an important role in how we work and grow. Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together in person when it best supports clients, teams, development or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities and client needs.
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.
Compensation Range: $85,100 - $161,700
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.
