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Azure Ai Engineer Remote Jobs in Missouri (NOW HIRING)

Azure Architect

Saint Louis, MO ยท Remote

$61.75 - $80.50/hr

... Remote Apps etc. Experience and understanding of security requirements for cloud like IAM, Web ... Microsoft certified Azure certifications (preferred) Experience in Azure automation and DevOps ...

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... IGA * SAML * Cloud (AWS/Azure) * Scripting (Postman, PowerShell) * Okta * Agile Nice to have

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... IGA * SAML * Cloud (AWS/Azure) * Scripting (Postman, PowerShell) * Okta * Agile Nice to have

AI Agentic Tester

Denver, MO ยท On-site +1

AI Agentic Tester Denver, MO (Remote) Must-Have Skills * AI Agentic Testing * Functional Testing ... Prompt Engineering Validation * AI Model Validation & Evaluation * API Testing (Postman, REST APIs ...

AI Agentic Tester

Denver, MO ยท On-site +1

AI Agentic Tester Denver, MO (Remote) Must-Have Skills AI Agentic Testing Functional Testing ... Test RAG pipelines, prompt engineering, and AI agent orchestration. Execute API testing using ...

Stefanini is looking for a Security Engineer - Remote . For quick Apply, please reach out to ... IGA * SAML * Cloud (AWS/Azure) * Scripting (Postman, PowerShell) * Okta * Agile Nice to have

Familiarity with cloud platforms such as GCP, AWS or Azure * Understanding of software engineering practices, including CI/CD and automation * Knowledge of security best practices for system ...

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Role Specific Information About the Role As a Platform Engineer, you will design, build and ... Experience working with major cloud platforms (GCP, AWS, or Azure) * Knowledge and experience with ...

Showing results 21-40

Azure Ai Engineer Remote information

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.

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 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.

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

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

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

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

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

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

Azure Architect

Avtech solution

Saint Louis, MO โ€ข Remote

$61.75 - $80.50/hr

Contractor

Re-posted 11 days ago


Job description

Job Description

Job:Azure Architect
Location: Saint Louis, MO
Job Description:
Minimum of 9+ experience in defining architecture for large solutions using .NET or equivalent technologies
Minimum of 3+ years of experience in defining and implementing cloud/Azure based large solutions.
Working experience in Azure IaaS, PaaS, storage, network and database.
Analyzing and identifying applications for cloud assessment and fitment, mapping workloads across IaaS, PaaS and private clouds.
Experience in analyzing on-premise cost and Azure cost and arriving at TCO/ROI calculations and business case for cloud.
Implementing and hosting large, complex workloads (windows and non-windows) in Azure IaaS and configuring correct VM size and storage selection.
Experience in implementing and configuring/re-platforming large database solutions in Azure using SQL Server and Oracle.
Experience in implementing hybrid connectivity between Azure and on-premise using virtual networks, VPN and Express Route.
Experience in configuring subnets and NSGs in Virtual Networks
Experience in implementation using one or more Azure PaaS services like web sites, web/worker roles, SQL Azure database, storage, service bus, WebJobs, cloud services, Remote Apps etc.
Experience and understanding of security requirements for cloud like IAM, Web Application Firewalls, Data protection etc.
Experience in configuring RBAC for Azure Resource Groups
Experience in configuring custom tags for Azure Resource
Experience in defining highly available, DR solutions in Azure
Experience in defining cloud strategy for enterprise
Experience in building CI/CD methodology in Azure using technologies like VS online, Jenkins, TFS etc.
Experience in automation solutions using Azure Resource Manager, Powershell
*Microsoft certified Azure certifications (preferred)
Experience in Azure automation and DevOps (preferred)

Qualifications

Any degree

Additional Information

All your information will be kept confidential according to EEO guidelines.