The Solution Architect will lead the discovery, design, and implementation of JD Edwards solutions while serving as a trusted advisor during client engagements. They are responsible for translating business needs into scalable architectures and maintaining oversight throughout the project delivery lifecycle.
The Solution Architect will lead discovery sessions to translate business needs into scalable technical architectures and functional designs for JD Edwards and related enterprise platforms. They will maintain architectural ownership throughout the project lifecycle, from presales and requirements definition to implementation guidance and post-project review.
The Data Center Infrastructure Architect will design and implement secure, scalable enterprise infrastructure solutions across compute, storage, and networking. They will lead architecture standards, disaster recovery strategies, and collaborate with cross-functional teams to ensure system reliability and performance.
Lead client discovery and presales engagements, translating homebuilding business needs into scalable JD Edwards solution architectures, designs, proposals, and implementation plans. Maintain architectural ownership through delivery, resolve design and implementation challenges, manage risks and scope changes, and contribute to post-implementation reviews and improved practices.
The AI Software Engineer will design, develop, and deploy AI-powered applications while managing integrations between AI services and enterprise systems. They are responsible for monitoring production performance, optimizing AI workflows, and ensuring solutions meet security and compliance standards.
The Solution Architect transforms complex business challenges into scalable technology solutions by leading discovery sessions and designing integrated architectures. They own the entire solution lifecycle from initial requirements gathering through implementation guidance and post-project review.
The AI Platform Engineer is responsible for deploying, managing, and optimizing the OCI infrastructure that supports AI agents and enterprise workflows. This includes managing CI/CD pipelines, monitoring platform health, and ensuring secure environment configurations.
