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Azure Ai Engineer Remote Jobs in Michigan (NOW HIRING)

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

... AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data ... Flexible/remote work options.

Automation Engineer 3

Detroit, MI · On-site +1

$70K - $154K/yr

Experience with AI Builder, Copilot integrations, or Azure Open AI services is a strong plus ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Azure experience required * Strong understanding of data structure and APIs required * Experience ...

Showing results 41-60

Azure Ai Engineer Remote information

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

What are the most commonly searched types of Azure Ai Engineer jobs in Michigan?

The most popular types of Azure Ai Engineer jobs in Michigan are:

What job categories do people searching Azure Ai Engineer Remote jobs in Michigan look for?

The top searched job categories for Azure Ai Engineer Remote jobs in Michigan are:

What cities in Michigan are hiring for Azure Ai Engineer Remote jobs?

Cities in Michigan with the most Azure Ai Engineer Remote job openings:

Sr Domain Architect

Meijer Companies Ltd

Grand Rapids, MI • On-site, Remote

Full-time

Posted 2 days ago

New


Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,639 frontline employees who took The Breakroom Quiz

20th of 39 rated national retailers


Job description

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

Please review the job profile below and apply today!

The Senior Domain Architect is responsible for the architecture of multiple value streams within and/or across multiple lines of business. Senior Domain Architects engage with the business to understand and align to the enterprise vision. They collaborate with architecture stakeholders to define the appropriate architecture leveraging the Enterprise Architecture vision. The Senior Domain Architect leads and influences other architects to ensure designs are developed according to methods and standards in place.
Position will follow our hybrid schedule: Monday-Wednesday in Grand Rapids MI corporate office, Thursday-Friday remote.


What You'll Be Doing:

  • Develop and ensure compliance with architecture principles and standards for the various systems and components based on enterprise strategies, reference architectures, and design patterns.
  • Create and maintain strategic business capability roadmaps, linking IT systems and services to the capabilities they enable in conjunction with business stakeholders.
  • Design, implement and sustain strategic business capability roadmaps that align software solutions with business requirements.
  • Leverage your expertise in software architecture to ensure that roadmaps are not only robust and reliable, but also flexible and adaptable to accommodate future growth and changes in the business landscape.
  • Contribute to architectural decision records that guide solution development, standardization, reuse, simplification, and consistency across domains.
  • Define, develop, implement, and communicate architecture runways that guide solution development, standardization, reuse, simplification, and consistency across domains.
  • Envision and advocate for domain objectives across domain, platform, and enterprise architects to align with business priorities
  • Evaluates architectural options and defines overall architecture of the system, ensuring commonality across systems.
  • 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.
  • Defines non-functional requirements including performance monitoring, alerting and code management, ensuring alignment with technology best practices and SLAs.
  • Collaborates with enterprise architecture to identify gaps in solutions and ensure alignment.
  • Guides architects and teams to align with enterprise strategy and vision through technical and business leadership.
  • Determines major elements and subsystems and defines interfaces as well as architectural runway.
  • Leads and prioritizes the architectural runway for the solution trains
  • Interfaces with the Product Ownerand IT partners at the Program level to define and estimate features for agile teams.
  • Works within the SAFe Agile framework and employs ITIL best practices.
  • Create conceptual and logical domain design diagrams
  • Work to create a multiple year domain strategic roadmap.
  • Define standards definitions and reference models for the specific domain.
  • Establish domain architecture governance and compliance for the specific domain.
  • This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required.

What You'll Bring With You:

  • Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required.
  • Any SAFe certification (SSM, SASM, SA, SPC, SPMPO)
  • ITIL Foundations certification
  • 10+ years' experience in business application design, development, implementation, and/or solution architecture.
  • Knowledge of project management techniques is required (cross-functional experience is highly desirable).
  • Experience with structured design, development, and implementation of new and established computing architectures.
  • Technical team leadership experience.
  • Experience in Scaled Agile framework is preferred.
  • Lead and understand bridge between the many disparate efforts related to the architectural impact of changes to systems.
  • Serve as a guide able to navigate the full domain lifecycle to assist IT teams and business users.
  • Lead and prioritize architecture direction for lines of business.
  • Drive technical debt reduction, application/platform security, and compliance awareness.
  • Self-driven research of technologies and processes
  • Evaluate and guide technical proof of concepts.
  • Ensure documentation for the domain is up to date and complete, adhering to Enterprise Architecture standards.
  • Understand technology solutions across the organization.
  • Fosters relationships with IT teams, business users, and vendors
  • Engage and influence stakeholders and peers at different levels.
  • Ability to articulate the architectural story based on audience.
  • Assist in the technical and personal growth of others.
  • Meetings & discussion facilitation
  • Experience with multiple, diverse technical configurations, technologies, and processing environments.
  • 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.
  • Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.
  • Knowledge of all components of a technical architecture.
  • Strong understanding of network architecture.
  • Ability to understand the long-term ("big picture") and short-term perspectives of situations.
  • Translates business needs into technical architecture requirements.
  • Communicates IT requirements and guidelines to vendor partners.
  • Estimates financial impact of technical architecture alternatives.
  • Applies multiple technical solutions to business problems.
  • Desire to learn new tech & market trends.
  • Quickly comprehends the functions and capabilities of new technology.
  • Excellent written and oral communications skills.
  • Excellent planning and organizational skills.

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