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Azure Ai Engineer Remote Jobs in Kansas (NOW HIRING)

$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 ...

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... AWS or Azure * Demonstrated use of AI development tooling to drive team productivity * Experience ...

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 ...

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... and Azure infrastructure to OpenTofu/Terraform and Ansible; establish module standards, remote ... AI/ML infrastructure basics: LLM API integration or model serving, as the platform will need to ...

New

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... and Azure infrastructure to OpenTofu/Terraform and Ansible; establish module standards, remote ... AI/ML infrastructure basics: LLM API integration or model serving, as the platform will need to ...

New

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... 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 ...

$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 ...

Showing results 41-60

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 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.

Senior Manager, AI Engineering & Platform

Virtus

Overland Park, KS โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Title: Senior Manager, AI Engineering & Platform

Location: Overland Park, Kansas

(On-site Monday through Thursday; remote work available on Fridays)

Salary Grade: Salaried Exempt

Virtus Insurance, a nine-time Best Places to Work in Insurance awardwinner, is redefining what a modern brokerage looks like. We are fast, specialized, and relentlessly clientcentric, operating across Hospitality, Real Estate, Private Capital, Benefits, Construction, Retail & Distribution, Food & Beverage and Small Business / Personal Lines. Our culture rewards ownership, excellence, and fearless pursuit.

We are looking for a builder who wants to create the technology foundation that will power the next chapter of Virtus.

What This Role Is:

The Senior Manager, AI Engineering & Platform is responsible for designing, building, and maintaining the technology infrastructure that supports Virtus' long-term AI and operational strategy.ย 

This is not a role that begins with a blank page. Virtus already has internally built applications running in production and in daily use by our client success teams, and our enterprise data platform is under active construction with an external analytics partner. Our Chief Executive Officer has committed the firm to becoming fully AI-enabled, and the operations leadership accountable for that commitment builds with agentic tooling every day.

As the first dedicated engineering hire at Virtus, you will be the person who makes that work durable. This is a hands-on building role: you will write and ship production code, not solely review the work of others. The architecture, standards, and platforms you establish in your first year will support everything the firm builds after it.

This is a role for someone who wants to build, lead, and leave a lasting mark, with the autonomy to shape the technology platforms that will power Virtus' next decade of growth.

Who Thrives at Virtus:
  • Embody the Virtus Core Values: Better Tomorrow, Fearless Pursuit, and One Virtus.
  • Are energized by building innovative technology solutions and solving complex business challenges.
  • Design, develop, and support scalable applications with confidence and technical expertise.
  • Are disciplined operators who value architecture, security, quality, and measurable results.
  • Communicate with clarity, credibility, and executive presence.
  • Embrace ownership and accountability for the systems and platforms they build.
  • Want a seat at the table to help shape the future of technology and AI at Virtus.
Key Responsibilities:
Data Platform Ownership
  • Serve as Virtus' primary technical liaison for the firm's external data platform and analytics partners.
  • Develop technical requirements, evaluate architecture and data models, and provide oversight of vendor-delivered solutions.
  • Ensure data warehouse structures support operational applications, reporting needs, and future AI initiatives.
  • Conduct technical reviews and acceptance testing to ensure solutions meet Virtus standards for quality, scalability, and business value.
  • Partner with vendors and business stakeholders to support the long-term evolution of the firm's data platform.
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API & Integration Architecture
  • Design, build, and maintain a Virtus-owned API layer that serves as the primary integration point between enterprise data sources and internal applications.
  • Establish integration standards that promote system stability, scalability, security, and maintainability.
  • Ensure applications are architected to operate independently from vendor-managed data environments.
  • Provide ongoing governance and oversight of enterprise integration strategies.
ย 
Knowledge Management & AI Enablement
  • Design and maintain the technical architecture supporting Virtus' enterprise knowledge management strategy.
  • Develop scalable solutions that enable structured, machine-readable access to organizational content, including standard operating procedures, training materials, and business documentation.
  • Build and maintain retrieval and context-layer capabilities that support AI-powered applications and workflows.
  • Ensure knowledge assets are organized and accessible to support future automation and AI initiatives.
Application Development & Platform Engineering
  • Lead the design, development, and deployment of strategic internal business applications.
  • Develop scalable platform standards for authentication, deployment, monitoring, backup, and system reliability.
  • Serve as the primary technical owner for complex application initiatives, including automation and AI-powered solutions.
  • Ensure all systems are built to support long-term operational stability, scalability, and business growth.
  • Establish development practices that enable rapid innovation while maintaining security and governance standards.
Technical Leadership & Architecture Oversight
  • Provide technical leadership and architectural guidance across the organization's technology portfolio.
  • Review proposed solutions to identify scalability, security, performance, and operational risks.
  • Partner closely with Operations Leadership to evaluate technology investments and implementation strategies.
  • Act as a trusted advisor to executive leadership on technology architecture, platform strategy, and long-term system evolution.
  • Promote sound engineering practices and ensure technology decisions align with the organization's growth objectives.
Qualifications:
  • Five or more years of engineering experience with demonstrated range across full-stack application development and data engineering, including the ability to review data warehouse designs and identify gaps, risks, and opportunities for improvement.
  • Experience serving as one of the first engineering hires within a growing organization or owning end-to-end production systems in an environment that required a high degree of autonomy and accountability.
  • Python, SQL, and TypeScript as working languages.
  • Demonstrated experience designing, deploying, and supporting solutions in cloud environments, preferably Microsoft Azure. Experience with AWS or Google Cloud Platform is acceptable with the ability to quickly become proficient in Azure.
  • Demonstrated daily use of AI-assisted software development tools and large language model technologies, including practical application in coding, testing, debugging, and solution delivery. Agentic development tools should be a primary part of how you work rather than general familiarity. The interview process includes a live build session using these tools.
  • Ability to independently deploy, monitor, support, and maintain production systems throughout the full software lifecycle.
  • Excellent written and verbal communication skills, with the ability to translate complex technical concepts for business stakeholders, including executive leadership.
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What Will Make You Stand Out:
  • Experience serving as the primary business stakeholder or technical lead in outsourced technology or vendor relationships, with the ability to evaluate technical deliverables, provide architectural feedback, and hold partners accountable to established standards.
  • Experience working within highly regulated industries such as insurance, financial services, healthcare, or other environments where data security, privacy, and compliance are critical.
  • Experience integrating enterprise systems and platforms, including agency management systems, CRM platforms, ERP systems, EHRs, or other systems of record through APIs, data exports, and related integration methods.
  • Demonstrated ability to evaluate, prioritize, and apply artificial intelligence technologies in practical business settings, with sound judgment regarding where AI creates value and where traditional approaches are more effective.

Physical Requirements:

The employee must be able to sit, use hands to handle or feel, talk or hear frequently; and occasionally stand, walk, and reach with hands and arms. Must have close and distance vision.

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Travel:

This role requires minimal travel.

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Why Join Virtus?

Virtus offers the freedom and trust to build a worldclass practice within a supportive, highperformance environment. We invest in our people through:

  • Market-leading compensation and bonus programs
  • 401(k)
  • Health, dental, and vision
  • Unlimited PTO
  • Continuous professional development
  • An entrepreneurial culture where great ideas become realityย 

Push Forward - We've got your back!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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