Senior AI Solutions Architect – GenAI & Azure Expert

Meijer; Louisiana (MO); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Weekly pay

Scheduling flexibility

Parental leave

Education assistance

Team discount

Career development

Job summary

Meijer is seeking an experienced AI Architect to lead the architecture, design, and guidance for AI/GenAI initiatives across the organization. The role focuses on Azure-based AI solutions, RAG orchestration, and scalable architectures within a hybrid work model.

The ideal candidate will mentor engineering teams, drive best practices, and shape reference architectures for enterprise AI workloads, while prioritizing responsible AI governance and cost optimization.

Qualifications

• Bachelor's degree or equivalent experience.
• 5+ years IT experience with architecture design.
• Experience with AI/GenAI in Azure environments.
• Knowledge of AI governance and cost management.

Responsibilities

• Architect, design, and review implementation details for a domain within AI solutions.
• Code and implement new patterns to establish conventions for teams.
• Mentor domain engineering teams on best practices.
• Provide engineering strategy for code modernization and standard patterns.
• Build proofs of concepts that are production ready.
• Guide development teams within domain requirements.
• Lead non-functional requirements (security, reliability, performance, scalability).
• Promote adoption of new technologies to improve processes and value delivered to customers.
• Define reference architectures for AI/Automation workloads on Microsoft Azure stack and related tooling.
• Guide LLMOps and responsible AI practices across domains and lead architectural reviews.

Skills

AI architecture

Azure stack

LLMOps

Leadership

Agile methods

GenAI frameworks

Education

Bachelor's degree

Tools

Azure OpenAI

AKS

Azure Functions

Azure DevOps

RAG

LangChain

Job description

Meijer is seeking an experienced AI Architect to lead the architecture, design, and guidance for AI/GenAI initiatives across the organization. The role focuses on Azure-based AI solutions, RAG orchestration, and scalable architectures within a hybrid work model.

The ideal candidate will mentor engineering teams, drive best practices, and shape reference architectures for enterprise AI workloads, while prioritizing responsible AI governance and cost optimization.