Principal Engineer

Meijer Inc.; Walker (MI); Ibrido; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Meijer Rewards

Weekly pay

Scheduling flexibility

Paid parental leave

Paid education assistance

Team member discount

Development programs for advancement

Descrizione del lavoro

Meijer Inc. is seeking a Senior AI Architect to lead the design and delivery of AI solutions across the company’s large-scale technology landscape.

You will architect, review, and guide implementation within a domain of AI/GenAI on the Microsoft Azure stack, including RAG, agentic orchestration, and LLM evaluation frameworks. You will mentor domain engineering teams, promote code modernization, and ensure security, reliability, and performance.

Competenze

• Bachelor’s degree or equivalent experience.
• 5+ years in IT with technical leadership.
• Advanced knowledge of software development best practices.
• Experience in retail or production/service environments preferred.
• Exposure to agile methodologies and scaled Agile frameworks.
• Experience architecting AI/GenAI on Microsoft Azure stack (Azure OpenAI, AKS, Azure Functions).

Mansioni

• Architect, design, and review AI domain implementations and patterns.
• Lead engineering teams and provide guidance on best practices.
• Drive modernization and enterprise-standard AI solutions.
• Build production-ready proofs of concept.
• Define reference architectures for AI/Automation workloads on Azure.
• Guide responsible AI, cost optimization, and governance in domains.

Conoscenze

AI architecture

GenAI

Azure stack

LLMOps

Leadership

Formazione

Bachelor’s degree

Strumenti

Azure OpenAI

Azure AI Foundry

AKS

Azure Functions

Azure DevOps

Descrizione del lavoro

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!

• Meijer Rewards
• Weekly pay
• Scheduling flexibility
• Paid parental leave
• Paid education assistance
• Team member discount
• Development programs for advancement and career growth

The role will identify, analyze, and support business drivers, technology strategies, and current technology environments to recommend solutions to improve, develop, and align engineering to the specific domain.

The position will lead, consult or oversee multiple highly complex projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data.

Position follows our hybrid schedule: Monday-Wednesday in Grand Rapids MI corporate office, Thursday-Friday remote.

What You'll Be Doing:

• You will architect, design, and review implementation details for a specific domain within the company’s AI solutions.
• Designs, codes, and implements new industry leading design patterns in domain specific code bases, to create the convention/technique/practice that teams are accountable to follow.
• Mentors specific domain engineering teams on principles and best practices.
• Provides engineering strategy to ensure code modernization and industry standard patterns for specific domain.
• Builds proof of concepts (POCs) that are production ready.
• Provides guidance to development teams within domain requirements.
• Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to the specific domain.
• Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers.
• Defines and evolves reference architectures for AI & Automation workloads on the Microsoft Azure stack — including Azure OpenAI, Azure AI Foundry, Retrieval-Augmented Generation (RAG) at scale, agentic and multi-agent orchestration, Model Context Protocol (MCP) tool integration, and Microsoft Copilot Studio — ensuring alignment with Enterprise Architecture and security standards.
• Guides LLMOps and responsible AI practices across domains — including evaluation harnesses, guardrails and content safety, model routing and fallback, PTU/quota capacity planning, and cost optimization — and leads architectural reviews of AI/GenAI solutions prior to production deployment.

What You Bring with You (Qualifications):

• Bachelor’s (or comparable combination of education and related experience).
• 5+ years of progressive responsibility in an IT environment with demonstrated technical knowledge which provides the necessary skills, knowledge, and abilities.
• Advanced knowledge of software development best practices.
• Experience in the retail industry or in a production/service environment is preferred.
• Exposure to a wide variety of software project management methodologies and frameworks with a deep understanding of agile development methodologies.
• Successfully developed and implemented applications in new computing architecture environments using new and emerging technologies.
• Developed efficient and effective solutions to diverse and complex business problems
• Technical team leadership experience.
• Experience in Scaled Agile framework is preferred.
• Experience with multiple, diverse technical configurations, technologies, and processing environments.
• Experience with structured design, development and implementation of new and established computing architectures.
• Enterprise-scale experience architecting AI or GenAI solutions on the Microsoft Azure stack (Azure OpenAI, Azure AI Foundry, AKS, Azure Functions, Azure DevOps), including RAG, agentic and multi-agent orchestration, Model Context Protocol (MCP), and LLM evaluation frameworks, is preferred.
• Working knowledge of LLMOps, responsible AI governance (model risk, content safety, data privacy), and cost/capacity management (PTUs, quotas, model routing) for production AI platforms is preferred.
• Experience guiding teams through AI‑assisted and spec‑driven development, context/prompt engineering standards, and evaluating GenAI frameworks such as LangChain/LangGraph, Semantic Kernel, or AutoGen is preferred.

We opened our doors more than 90 years ago with the goal of helping people provide for themselves and their family. Today we’re a multi-billion dollar retailer with more than 70,000 employees across six states. Our Midwest geography includes corporate offices in Grand Rapids, Michigan, plus manufacturing facilities, distribution centers and over 270 stores across Michigan, Illinois, Indiana, Kentucky, Ohio and Wisconsin.

Meijer is an Equal Opportunity Employer, fostering a diverse and inclusive workplace. We are committed to treating all persons with dignity and respect.

Meijer's policy is to not discriminate because of any applicant or team member's race, color, national origin, sex, sexual orientation, gender identity or expression, pregnancy, religion, age, physical or mental disability, uniformed service or veteran status, or any other lawfully‑protected classification.

If you have a disability and require a reasonable accommodation to complete any part of your application.

Submissions that are not seeking help to complete the application due to a disability will not be responded to.