AI Consulting Engineer - Senior Associate

RSM•Chicago, IL

1d•Hybrid

About The Position

RSM is seeking an AI Consulting Engineer to help clients deploy, secure, adopt, and scale enterprise AI solutions. The role combines technical consulting, AI assistant deployment, managed service delivery, client enablement, and hands-on solution development. The engineer deploys and supports cross-platform AI assistants, including Microsoft Copilot and Claude; performs tenant, identity, data, and security readiness activities; builds AI agents and automations; and assists clients using RSM's Managed AI platform. The position partners with AI Platform Engineering, Security, and Advisory teams to move clients from experimentation to governed, production-ready AI adoption. The role also supports client onboarding, administration, monitoring, troubleshooting, and continuous improvement on RSM's Managed AI platform. It develops and customizes agents, assistants, automations, and lightweight applications; prototypes solutions with users and refines them based on feedback and measurable outcomes; and helps transition successful prototypes into secure, scalable enterprise applications. Client-facing work includes discovery, workshops, training, office hours, adoption activities, and translating business needs into use cases, deployment plans, and technical requirements. RSM describes most roles as hybrid, with team members aligned to an RSM office and meeting in person when it supports clients, teams, development, or relationship-building. Some roles may be virtual or primarily on-site depending on role requirements, team priorities, and client needs.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
Support clients 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.
Build and customize AI agents, assistants, automations, and lightweight applications to 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.
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.