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Azure Ai Engineer Remote Jobs in Kansas (NOW HIRING)

In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI ... Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers. * Strong project ...

$108K - $143K/yr

Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$108K - $143K/yr

Partner with AI Engineering as a peer. Earn credibility through product judgment and evaluation ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Partner with cloud providers (AWS, GCP, Azure) to optimize hosted inference solutions and leverage ...

Leverage AI tools and platforms as an integral part of daily responsibilities to enhance decision ... NET Core, C#, Angular, JavaScript, SQL Server and Cloud experience (preferably Azure Cloud ...

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... site, remote, or dispersed across global networks. Our platform automates network discovery ...

Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

$97K/yr

We are looking for an AI Workflow Engineer (Internal) to build & maintain the internal AI tools ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$97K/yr

We are looking for an AI Workflow Engineer (Internal) to build & maintain the internal AI tools ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Partner with Product and AI Engineering to define jobs-to-be-done for agent-powered workflows and ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

AWS or Azure * Demonstrated use of AI development tooling to drive team productivity * Experience ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Remote ...

Drive innovation by evaluating and implementing new technologies, methodologies, and AI ... NET/.NET Core, C#, Angular, JavaScript, SQLServerand Cloudexperience (preferably Azure Cloud ...

Showing results 21-40

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 popular job titles related to Azure Ai Engineer Remote jobs in Kansas?

For Azure Ai Engineer Remote jobs in Kansas, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Azure Ai Engineer Remote job openings in Kansas as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago


Job description

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You're welcome to work remotely from the United States.

Your responsibilities will include:

  • Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
  • Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
  • Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
  • Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
  • Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

  • Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
  • Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
  • Experience with Kubernetes and Python programming.
  • Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
  • Customer-centric approach with a proven ability to build trust and foster long-term relationships.
  • Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

  • Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
  • Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
  • Proven experience mentoring technical teams and driving team growth.
  • Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Key Employee Benefits:

  • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) Plan: Up to 4% company match with immediate vesting.
  • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote Work Reimbursement: Up to $85/month for mobile and internet.
  • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Join Nebius Today!