- Eliassen Group (Columbus, OH)
- ** GCP Architect - AI Initiatives ** **Anywhere** **Type:** Contract **Category:** Architecture **Industry:** Retail **Workplace Type:** Remote **Reference ... + Design and architect robust and scalable cloud solutions on GCP to support AI initiatives and other business needs, ensuring alignment with company… more
- Ford Motor Company (Columbus, OH)
- …on-premises data centers, and distributed locations in all major regions. As a GCP Cloud Architect , you will provide day-to-day responsibility with hands-on ... GCP services into our overall IT architecture. + Stay current with GCP technologies, Agentic AI and best practices and provide recommendations for continuous… more
- Deloitte (Cincinnati, OH)
- AI Engineering Manager/Solutions Architect - SFL Scientific SFL Scientific, a Deloitte Business, practice brings together several key capabilities to ... win - ultimately driving growth and enterprise value. We are hiring an AI Engineering Manager/Solutions Architect to support the design, development, and… more
- The Hartford (Columbus, OH)
- …to various teams. The ideal candidate should be able to execute critical initiatives independently and mentor junior engineers. This role will have a Hybrid work ... (Tuesday through Thursday). Responsibilities: + Execute product development for GCP , AWS, and multi-cloud environments, adhering to software engineering principles… more
- The Hartford (Columbus, OH)
- …+ Preferred: Recognized applicable domain certifications (eg, AWS Data and Analytics, GCP Professional Data Engineer, Sno wPro Advanced Architect ) Compensation ... the future. Overview of Role As a Principal Data Architect , you will be a strategic leader responsible for...for defining and driving line of business data and AI architecture that is connected and aligned to the… more
- Cardinal Health (Columbus, OH)
- …and implement multi-cloud-based infrastructure for Data Lake, Analytics and Machine Learning initiatives . In this critical role, primary focus is to architect , ... Data Platforms and Pipelines at enterprise scale to support Analytics and ML/ AI solutions. All this while leveraging agile DevSecOps (DataOps, MLOps) practices, and… more