Artificial Intelligence Jobs in Grand Rapids, MI

Leads ServiceNow deployment workstreams for enterprise clients, managing implementation planning, budgeting, execution, risks, dependencies, and closeout. Oversees modules including ITSM, ITAM, ITOM, CSM, HRSD, SPM, NowAssist, and App Engine. Translates business needs into workflow automation, reviews deliverables, communicates with stakeholders, and coaches team members on ServiceNow architecture, configuration, and delivery methods.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Leads multidisciplinary teams delivering AI-enabled, cloud-native applications on AWS. Oversees architecture, development, testing, deployment, modernization, platform engineering, security, reliability, and client advisory activities. Translates business objectives into technical roadmaps, guides complex engineering work, coordinates cross-functional architecture reviews, communicates delivery risks and options, and coaches teams across multiple workstreams.

Leads financial statement audits for digital assets and financial services clients, evaluating regulatory compliance, governance, risk management, and internal controls. Applies advanced auditing and technical accounting expertise to identify material misstatements and issue audit reports. Directs complex engagements, coaches diverse teams, manages client relationships, communicates findings, and reinforces professional, independence, and ethical standards. The role also involves data analysis and exploring AI and machine learning platforms to improve processes.

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Leads Microsoft Dynamics 365 CRM and Copilot/AI functional workstreams for client engagements. Responsibilities include requirements analysis, CRM solution design, implementation management, integration planning, configuration, deployment, issue resolution, budgeting, risk tracking, user training, adoption support, and stakeholder management. The role also coaches team members, reviews deliverables, and identifies AI-enabled improvements to operational efficiency and client outcomes.

Analyze complex client problems using statistical modeling, exploratory analysis, data visualization, and machine learning. Develop AI and GenAI solutions, data workflows, pipelines, models, and quality checks that generate actionable business insights. Communate recommendations through documentation and visual storytelling, manage workstreams, collaborate with clients, and mentor junior team members.

Interpret advanced neuroradiology studies involving the brain, head, neck, and spine in a fully remote teleradiology practice. The role supports emergency, inpatient, and outpatient services on a 7-on/14-off overnight schedule. Candidates provide high-quality patient care and must hold an MD or DO, be board certified or eligible in Diagnostic Radiology, and have neuroradiology fellowship training or CAQ eligibility.

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.

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.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Leads global teams developing production AI, GenAI, RAG, agentic workflow, and MLOps solutions for health systems and health plans. Translates clinical, financial, and operational challenges into HIPAA-compliant use cases involving clinical decision support, population health, revenue cycle, research, and optimization. Oversees healthcare data science engagements, model governance, executive stakeholder communications, client delivery, and team development.

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.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.

Define, deploy, and scale AI-driven capabilities for Dematic’s Command Center platform. Identify industrial AI use cases, develop business cases and requirements, guide engineering, validate solutions with customers, lead pilots and deployments, establish responsible AI practices, and support commercialization. The role partners across product, AI, engineering, implementation, sales, and operations teams to deliver measurable improvements in warehouse, distribution, manufacturing, and automation outcomes.

Provides advanced technical application guidance, integration, troubleshooting, and optimization for industrial machine-vision solutions. Works with Cognex products, PLCs, controllers, optics, lighting, robotics, motion control, and automation equipment. Supports Sales with customer-facing technical expertise, conducts onsite trials, creates documentation and training, mentors applications engineers, and provides product feedback. Requires industrial-environment work, on-call flexibility, and travel up to 50%.

Leads the hands-on design, development, deployment, and lifecycle management of AI agents supporting Crowe’s Audit practice. Partners directly with Audit practitioners, builds production-grade Python solutions, establishes agent architecture and engineering standards, implements evaluation and observability, and maintains Azure DevOps CI/CD pipelines. Provides technical leadership, mentoring, project coordination, and product judgment while measuring business impact. The role may grow into managing a small team of forward-deployed engineers.

Lead and support end-to-end Rillet ERP implementations for CFOs and Controllers, configuring accounting workflows, developing delivery best practices, supporting scoping and sales handoffs, and ensuring timely, high-quality client outcomes. The role requires strong accounting knowledge, US GAAP expertise, ERP familiarity, client communication skills, and the ability to translate finance requirements into scalable system configurations and automations.

Assistant Professor of Business Analytics responsible for designing and leading a new undergraduate program, teaching business analytics courses, advising students, conducting scholarly research, serving the university community, and engaging with professional associations. The role requires expertise in data collection, databases, statistical analysis, machine learning, data visualization, enterprise resource planning, and AI in business. Applicants must support Calvin University’s Christian educational mission and demonstrate commitment to diversity and inclusive communication.

Leads the School of Engineering and Computer Science’s academic, strategic, operational, financial, and external development. Responsibilities include faculty and staff leadership, program innovation, accreditation, fundraising, industry and alumni partnerships, enrollment growth, student success, facilities planning, budgeting, and launching a Center for Faith and Technology. The Dean serves as the School’s chief ambassador and advances Calvin University’s Christian mission through technology, ethics, and engineering education.

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.