AI Architect: Strategy to Production (Remote/Hybrid)

Garden Life Dev

Goldsboro (NC)

Hybrid

USD 63,000 - 114,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Orientation and support
Flexible assignments

Job summary

Garden Life Development is seeking an AI Architect for a full-time temporary W-2 role in North Carolina. The position supports on-site, hybrid, or remote assignments and involves designing AI-based solutions, setting strategy and governance, and guiding teams from concept to production.

You will work with Azure AI, AWS Bedrock/SageMaker, and Google Vertex AI, requiring strong data engineering and MLOps knowledge. Bachelor's degree or equivalent experience is required.

Qualifications

  • Hands-on AI/ML work and software or data architecture experience.
  • Bachelor's degree or equivalent combination of education and experience; certifications verified before placement.

Responsibilities

  • Design AI-based solutions aligned with organizational goals.
  • Develop and maintain AI strategies, roadmaps, and architecture patterns.
  • Guide solution sourcing, technical standards, and implementation plans.
  • Check that AI solutions fit with existing hardware, network, and enterprise architecture.
  • Oversee AI projects for scope, resources, timeline, and quality.
  • Set AI security, privacy, and governance controls.
  • Research AI technologies and industry trends.
  • Align AI plans with business stakeholders and IT teams.

Skills

AI/ML experience
Architecture skills
Cloud AI tools

Education

Bachelor's degree in a related field

Tools

Azure AI
AWS Bedrock/SageMaker
Google Vertex AI

Job description

Garden Life Development is seeking an AI Architect for a full-time temporary W-2 role in North Carolina. The position supports on-site, hybrid, or remote assignments and involves designing AI-based solutions, setting strategy and governance, and guiding teams from concept to production.

You will work with Azure AI, AWS Bedrock/SageMaker, and Google Vertex AI, requiring strong data engineering and MLOps knowledge. Bachelor's degree or equivalent experience is required.

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