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Azure Ai Engineer Remote Jobs in Kansas (NOW HIRING)

CrowdStrike

You will champion engineering excellence, focusing on shipping fast, writing elegant, high-quality ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

... Azure, Google Cloud, etc.) * Experience with Machine Learning, Deep Learning, and/or AI ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

Overstory

$98K - $134K/yr

Fluency working across cloud environments (AWS, GCP, or Azure) and modern SaaS ecosystems ... Demonstrable experience (or at a minimum a serious interest in) leveraging AI tooling to accelerate ...

United Airlines

Senior Cloud Engineer

KS · On-site +1

$70K - $144K/yr

Location Remote based role with preference in Hub Office City. About The Job You're Considering ... Azure Virtual Desktop (AVD) * Plan, deploy, and manage scalable AVD environments in Azure ...

Locatee AG

Handson cloud experience across AWS, GCP, and/or Azure, with ability to dive deep on architecture ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Locatee Ag

Handson cloud experience across AWS, GCP, and/or Azure, with ability to dive deep on architecture ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

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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:

Azure Ai Engineer Remote jobs near you
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.

Digital Chemistry Specialist - Remote

micro1 AI

Wichita, KS • Remote

$90 - $120/hr

Part-time

Posted 18 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply