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Azure Ai Engineer Remote Jobs in Addison, TX (NOW HIRING)

CYNET SYSTEMS

AI Engineer - Remote / Telecommute

Plano, TX · Remote

$60 - $65/hr

Strong hands-on experience in Java, Python, Azure, Azure Databricks, and Microservices architecture ... Leverage AI-powered development tools and engineering practices to accelerate software delivery ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

We are seeking a Lead Software Engineer to design, build, and scale next-generation agentic AI ... solid AI/ML delivery (Azure preferred) with Scala, Python, PySpark * 4+ years hands on with ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

We are seeking a Lead Software Engineer to design, build, and scale next-generation agentic AI ... solid AI/ML delivery (Azure preferred) with Scala, Python, PySpark * 4 years hands on with ...

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Integrate with AI platforms including Snowflake Cortex, OpenAI, Azure AI Studio, AWS Bedrock, and ...

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Cloud Platforms (Azure / AWS / GCP) * AI Model Deployment & Productionization * Security, Privacy & Responsible AI * Problem Solving & Analytical Skills * Agile/Scrum Preferred (Good to Have)

Hirekeyz Inc

AI/Full Stack Engineer

Irving, TX · Remote

Role: AI/Full Stack Engineer Location: Irving, TX (Remote) Job Type: Contract We are rapidly ... Utilize Azure AI services, including Document Intelligence, Azure OpenAI, and AI Search, to build ...

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How much do azure ai engineer remote jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for azure ai engineer remote in Addison, TX is $51.92, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $60.29 per hour, depending on experience, location, and employer.

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 job categories do people searching Azure Ai Engineer Remote jobs in Addison, TX look for?

The top searched job categories for Azure Ai Engineer Remote jobs in Addison, TX are:

What cities near Addison, TX are hiring for Azure Ai Engineer Remote jobs?

Cities near Addison, TX with the most Azure Ai Engineer Remote job openings:

Azure Ai Engineer Remote jobs near you

AI Engineer - Remote / Telecommute

CYNET SYSTEMS

Plano, TX • Remote

$60 - $65/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Job description

Job Overview:

Pay Range: $60.00hr - $65.00hr

Requirement/Must Have:

  • Strong hands-on experience in Java, Python, Azure, Azure Databricks, and Microservices architecture.
  • Proven experience building and deploying scalable cloud-native enterprise applications.
  • Deep understanding of modern SDLC, Agile delivery, DevOps, CI/CD, and software engineering best practices.
  • Demonstrated ability to leverage AI Tools and techniques to accelerate software delivery, improve code quality, automate engineering processes, enhance developer productivity, and drive innovation across the software lifecycle.
  • Ability to work closely with business stakeholders, functional leaders, product owners, and technical teams to translate business requirements into scalable, value-driven technology solutions.
  • Strong ownership mindset with the ability to drive solutions end-to-end, from requirements and design through deployment and production support.
  • Excellent analytical, communication, stakeholder management, and problem-solving skills.

Responsibilities:

  • Design, develop, and maintain scalable, cloud-native applications and microservices using Java, Python, and Microsoft Azure.
  • Build secure RESTful APIs, distributed systems, and data-intensive solutions leveraging Azure Databricks, Apache Spark, and Delta Lake.
  • Deliver production-ready software following Agile, DevOps, CI/CD, and cloud engineering best practices.
  • Take end-to-end ownership of applications and services across design, development, deployment, monitoring, and production support.
  • Leverage AI-powered development tools and engineering practices to accelerate software delivery, improve code quality, automate workflows, and enhance developer productivity.
  • Develop reusable AI-driven solutions to streamline engineering processes and reduce manual effort.
  • Identify and implement opportunities to improve engineering efficiency, automation, and software quality through AI adoption.
  • Collaborate with business stakeholders, functional leaders, product owners, architects, and engineering teams to translate business requirements into scalable technology solutions.
  • Stay current with emerging AI technologies and contribute to the adoption of responsible AI practices across the engineering organization.

Skills:

  • AI.
  • Java.
  • Python.
  • Azure.
  • Azure Databricks.
  • Microservices.
  • Apache Spark.
  • Delta Lake.
  • DevOps.
  • CI/CD.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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