Artificial Intelligence Jobs in Grand Rapids, MI

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead Microsoft Dynamics 365 CRM implementations, architect solutions, manage project lifecycles and client accounts, mentor teams, ensure quality and post-go-live support, and drive innovation and continuous improvement.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Design, build, and maintain highly scalable, reliable observability platform components. Lead architecture, debug distributed systems, reduce technical debt, and elevate engineering quality through testing and code reviews. Mentor junior engineers, collaborate with product teams, and integrate AI tooling to enhance platform capabilities.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead design, build, and operation of scalable, secure AI-enabled platforms; mentor engineers; ensure reliability, security, and delivery of conversational AI and cloud-native solutions; collaborate cross-functionally to translate use cases into platform capabilities.

Lead and oversee multiple multidisciplinary teams to architect, develop, deploy, monitor, and maintain full-stack AI solutions (including LLM integrations). Provide strategic and technical leadership, drive experimentation and CI/CD practices, ensure quality and stakeholder alignment, promote innovation, and mentor senior and junior team members to deliver business-aligned AI outcomes.

Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.

Leads end-to-end executive searches across technology and engineering, advising business and HR leaders on talent strategy, executive assessment, sourcing, pipeline development, market intelligence, and hiring decisions. Builds relationships with executives and candidates, manages search governance and reporting, and supports diverse recruiting and complex compensation negotiations.

Leads quality assurance across multiple complex projects by developing quality plans, managing root-cause investigations, supporting quality-gate reviews, tracking benchmarks, producing performance reports, and ensuring compliance with contractual and Dematic quality requirements. Drives continuous improvement, partners with regional teams, uses analytics to identify trends, coordinates audits, and collaborates with customers. The role requires approximately 50% or more domestic travel, with possible international travel.

Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

Lead end-to-end delivery of AI and ML services within Managed Services. Manage project planning, budgeting, execution, and quality. Mentor and develop team members, cultivate client relationships, implement model monitoring and operationalization practices, and collaborate with architects and engineers to ensure compliant, reusable AI solutions.

Lead firmwide AI enablement by setting strategy and roadmap, designing multi-level training, running an AI champion community, producing adoption analytics, shaping governance, evaluating tools and vendors, and managing stakeholders and a small team to drive responsible AI adoption and measurable business impact.

Lead post-go-live optimization for Microsoft Dynamics 365 Supply Chain Management environments. Assess configuration and adoption across inventory, procurement, warehousing, planning, and related modules; identify business pain points; create enhancement roadmaps; guide system configuration changes; and apply AI and Copilot automation opportunities. The role also includes client and executive stakeholder engagement, relationship expansion, methodology development, mentoring, backlog management, and practice growth.

Design and implement reusable AI-enabled workflows, prompts, custom assistants, and automations to improve consulting delivery. Analyze client materials, synthesize executive recommendations, validate AI outputs, maintain prompt and template libraries, and deploy low-code/Power Platform automations while measuring adoption and quality improvements across consulting teams.

Supports consulting clients in identifying, prioritizing, and implementing Generative AI solutions. Responsibilities include facilitating workshops, analyzing requirements and processes, supporting proof-of-concepts, exploring data, developing documentation, testing solutions, tracking project plans, translating business needs into technical specifications, and delivering GenAI training. The role emphasizes Microsoft AI technologies, prompt engineering, Agile and SDLC practices, continuous AI learning, and client collaboration.

Lead post-go-live optimization for Microsoft Dynamics 365 Finance clients. Assess production environments, identify configuration and adoption gaps, prioritize enhancement roadmaps, manage backlogs, and guide design, testing, and releases. Advise finance and operations leaders, improve data integrity and user experience, identify Copilot and agentic AI opportunities, review engagement quality, mentor consultants, and contribute to consulting methodologies and practice growth.

Lead assessment and secure adoption of AI/ML and GenAI systems for clients. Design security patterns and controls, perform assessments and pen tests, prototype AI-enabled security capabilities, ensure compliance (PII, privacy, regulatory), document protocols, and collaborate with cross-functional teams to productionize scalable AI-security solutions.

Design, build, and maintain production-grade AI automation workflows and LLM integrations (n8n, Python, APIs). Lead client delivery, translate business requirements into reliable systems, create reusable frameworks, and drive internal AI adoption and governance (including Microsoft 365 Copilot).

Build and maintain automation workflows and AI-assisted pipelines using n8n, APIs, webhooks, and LLM tooling. Integrate disparate systems (CRMs, ERPs, ticketing), support client delivery, create internal tools and dashboards, document solutions, and contribute reusable templates and enablement materials for the AI & Automation practice.

Seeking a Principal Data Architect to lead enterprise data platform development, collaborate with teams, and design scalable data architectures using modern technologies.

Serve as a trusted AI security advisor to clients: design pragmatic AI-focused security solutions, drive sales pipeline, qualify and scope opportunities, lead demonstrations and evaluations, partner with delivery teams, evangelize AI security thought leadership, and maintain stakeholder relationships to deliver comprehensive AI security programs.