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Artificial Intelligence Relocation Jobs in Michigan

... artificial intelligence & machine learning. This role requires programming and statistical ... This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes ...

Dependent upon your location, this opportunity offers a generous relocation package. Qualifications ... Science, Artificial Intelligence, Software Engineering, or related fields that helps you apply ...

Must be willing to relocate to another part of country once training is completed * Local travel ... We may use automated tools, including artificial intelligence, to support parts of our hiring ...

... artificial intelligence & machine learning. This role requires programming and statistical ... This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes ...

Showing results 41-60

Artificial Intelligence Relocation information

What are the key skills and qualifications needed to thrive as an artificial intelligence relocation specialist?

To thrive as an Artificial Intelligence Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree. Familiarity with programming languages such as Python, TensorFlow, PyTorch, and knowledge of cloud computing platforms is typically required, along with certifications in AI or data science being advantageous. Strong problem-solving, analytical thinking, and effective communication are crucial soft skills in this role. These skills and qualifications are essential for designing, developing, and deploying AI solutions that solve complex business problems and drive innovation.

What are some common challenges faced by professionals working in artificial intelligence relocation roles, and how can they be addressed?

Professionals in Artificial Intelligence Relocation often encounter challenges such as adapting AI models to new data environments, ensuring regulatory compliance across regions, and managing stakeholder expectations during the transition. Success in this role requires strong technical skills, effective communication, and a proactive approach to cross-functional collaboration. Building relationships with IT, data privacy, and legal teams can help address these hurdles and ensure smooth AI system integration in the new location.

What is an artificial intelligence relocation specialist?

An Artificial Intelligence Relocation specialist is a professional who manages and supports the process of moving AI systems, infrastructure, or teams from one location to another. This can involve transferring AI models, data centers, or even AI talent across regions or countries to better align with business needs, regulatory requirements, or cost efficiencies. These specialists often coordinate with IT, HR, and legal teams to ensure a smooth transition, maintain data integrity, and comply with laws regarding technology and personnel. Their role is crucial in minimizing disruption and ensuring that AI operations continue seamlessly post-relocation.
What are popular job titles related to Artificial Intelligence Relocation jobs in Michigan? For Artificial Intelligence Relocation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Relocation jobs in Michigan look for? The top searched job categories for Artificial Intelligence Relocation jobs in Michigan are:
What cities in Michigan are hiring for Artificial Intelligence Relocation jobs? Cities in Michigan with the most Artificial Intelligence Relocation job openings:

Sr. Workday Integrations Configurator - HR IT

General Motors

Warren, MI • On-site

Full-time

Re-posted 3 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,273 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

General Motors is seeking a skilled Sr. Workday Integrations Configurator to design, develop, and maintain robust integration solutions within our Workday platform. This role will be crucial in ensuring seamless data flow and functionality across various HR and business systems. You will join a dedicated Workday Integrations team focused on developing scalable solutions using advanced technologies, with the opportunity to contribute innovative ideas.

What You'll Do
  • Design, configure, and test Workday integrations using various Workday integration tools (EIB, Core Connectors, Cloud Connect, Studio).

  • Collaborate with HR, IT, and business stakeholders to gather and analyze integration requirements, translating them into technical specifications.

  • Develop and maintain detailed documentation for all integration processes, configurations, and troubleshooting guides.

  • Perform root cause analysis and resolution of integration issues, ensuring data accuracy and system stability.

  • Participate in the full software development life cycle, including design, development, testing, deployment, and ongoing support of Workday integrations.

  • Stay up-to-date with Workday updates and new features, assessing their impact on existing integrations and recommending appropriate adjustments.

  • Utilize strong problem-solving skills to troubleshoot complex integration scenarios and optimize integration performance.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • 5+ years of HR Technology experience (SAP, PeopleSoft, Workday).

  • 3-5 years of recent hands-on experience in building and debugging Workday Integrations including EIB, Connectors (PECI, WECI, CCW etc.) and Workday Studio, and creating Workday custom reports, calculated fields and XSLTs.

  • Demonstrated experience with **Computer Program Design Techniques** for building scalable and maintainable integration solutions.

  • Demonstrated integration experience in Human Resources related domains (Onboarding/Offboarding, Payroll, Benefits, Timekeeping, etc.).

  • Experience in creating detailed system interface specifications, field mapping, and system process designs.

  • Strong knowledge of Cloud Computing, Web Services (SOAP & RESTFul) and integration patterns.

  • Proven ability in determining IT system requirements to effectively translate business needs into technical specifications for Workday integrations.

  • Hands-on experience with Product Configurators, specifically within the Workday platform (e.g., configuring integration templates, business process frameworks).

  • Familiarity with Web Programming Languages (e.g., JavaScript, Python) for advanced integration scenarios and API interactions is a plus.

  • Strong understanding of Workday's data model and security framework.

  • Excellent communication and interpersonal skills to collaborate effectively with diverse teams.

AI & Intelligent Systems Requirements

  • Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, including general awareness of how models are developed and used.

  • Some exposure to integrating AI capabilities into enterprise platforms, such as automation, simple analytics, or user-facing features. Exposure to using AI capabilities with Workday gives a competitive advantage.

  • Familiarity with common AI tools or platforms, including cloud-based services or emerging technologies, is preferred.

  • General awareness of data quality, governance, and responsible AI practices, including privacy and security considerations.

  • Interest in applying AI to improve workflows, productivity, or platform operations, with the ability to identify practical opportunities for adoption.

What Will Give You A Competitive Edge (Preferred Qualifications)
  • Hands-on experience with Workday Extend

  • Workday Pro Certification (Integrations) is highly desired

  • Hands-on experience with Java programming language.

  • Experience in technology modernization and AI adoption initiatives.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908