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Position Summary
RSM 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 Responsibilities
AI 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,…