Artificial Intelligence Jobs in Grand Rapids, MI

As a Senior Associate, you'll leverage Dynamics 365 applications to craft solutions, analyze complex problems, mentor team members, and manage project tasks tirelessly while strengthening client relationships.

Lead the design and implementation of Microsoft Dynamics 365 solutions, mentor team members, manage projects, and enhance client relationships to achieve operational efficiency.

Lead large-scale Microsoft Dynamics 365 CRM projects, provide strategic guidance, innovate processes, and coach teams while engaging senior clients to achieve operational excellence.

As a Manager, you will supervise teams, manage client engagements, and facilitate the implementation of Dynamics 365 ERP Finance. This includes analyzing complex business issues and ensuring adherence to methodologies and standards.

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.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The role involves leading teams in Microsoft Dynamics 365 implementations, mentoring junior staff, managing client accounts, and ensuring project quality and success through strategic planning and innovation.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

Lead design and delivery of data engineering, analytics, and AI/automation solutions. Oversee data architecture, teams, budgets, and compliance. Drive enterprise quality through test automation and DORA metrics, ensure ITGC/SOX readiness, partner cross-functionally, and improve engineering delivery and production stability.

The Marketing Technology and AI Lead will redesign workflows, implement AI and martech tools, drive strategic transformation, and foster change management in marketing operations.

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

Lead and support IT and AI sourcing from intake through contract execution: develop sourcing strategies, run RFx events, perform spend and market analysis, negotiate vendor and software agreements, manage vendors, collaborate with Legal/Finance/Technology, drive cost savings and process efficiencies, and present recommendations to stakeholders and leadership.

Serve as a trusted AI-focused cybersecurity advisor: design pragmatic AI security solutions, drive sales pipeline and proposals, provide thought leadership, collaborate with account/domain teams and partners, identify cross-sell/upsell opportunities, ensure delivery alignment, and evangelize AI security best practices at client and industry events.

Design, build, and operate production AI infrastructure: architect reusable IaC (Terraform/Crossplane), implement GitOps with FluxCD, create advanced ADO pipelines, resolve complex AKS issues, implement workload identity, define observability, perform technical reviews, and mentor junior engineers.

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.

Design, build, and deploy production-grade agentic AI and GenAI applications. Own ML system lifecycle, integrate models with enterprise APIs and data platforms, develop CI/CD and infrastructure automation, collaborate with cloud, data, and security teams, and enforce software-architecture, monitoring, and best practices for scalable AI solutions.