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Azure Ai Engineer Remote Jobs in Texas (NOW HIRING)

Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices ... Hybrid or remote work arrangement based on business needs. * Limited travel may be required for ...

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Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta ... Identify and implement AI-enabled approaches that accelerate development, improve data quality ...

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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 Texas?

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

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

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

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

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

Infographic showing various Azure Ai Engineer Remote job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Sr. AI-First Full Stack Engineer

MCKESSON

Irving, TX • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


McKesson rating

8.0

Company rating: 8.0 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

About the Role

McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest-growing specialty pharmacy organizations. This role combines strong full stack engineering with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, Large Language Models (LLMs), and AI agents in a fast-paced healthcare environment where technology directly impacts patient, provider, and business outcomes.

The engineer will work across the entire software lifecycle, from business discovery, system design, and full stack application development through testing, cloud deployment, production support, and measurable adoption. The role requires a hands-on builder with strong front-end, back-end, API, data, integration, and cloud engineering fundamentals who can apply AI as an additional capability and engineering accelerator. The engineer must translate ambiguous business problems into practical solutions, collaborate directly with stakeholders, and establish standards for secure, reliable, and scalable delivery across specialty pharmacy, patient engagement, provider solutions, and operational platforms.

Our team supports fast-paced specialty pharmacy operations, patient engagement, provider services, and business-critical healthcare workflows where speed, reliability, scalability, and innovation directly contribute to patient outcomes and business growth. Success in this role comes from partnering closely with the business to rapidly validate solutions, transform prototypes into scalable production capabilities, and maintain accountability for adoption, reliability, and outcomes.

What You'll Do
  • Design, develop, and deploy AI-powered applications using Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services.
  • Partner directly with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into production capabilities.
  • Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls.
  • Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET.
  • Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns.
  • Integrate AI capabilities with ServiceNow, Salesforce, Snowflake, Databricks, Power BI, and other enterprise platforms.
  • Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices.
  • Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and Kubernetes deployments.
  • Serve as technical owner for assigned applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria.
  • Lead modernization, technical debt reduction, resiliency improvements, design reviews, incident resolution, and root-cause prevention.
  • Mentor engineers and influence architecture, security, data, product, and delivery decisions across teams.
Basic Requirements
  • 7+ years of professional software engineering experience developing enterprise-scale applications.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
  • Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies.
  • Experience developing modern front-end applications using React and TypeScript.
  • Experience designing and consuming REST APIs, microservices, and enterprise integrations.
  • Experience developing cloud-native applications on Microsoft Azure.
  • Experience with CI/CD, source control, automated testing, SDLC, and Agile practices.
  • Experience acting as a technical lead or primary owner for an enterprise application, service, or platform.
  • Experience designing scalable architectures, documenting trade-offs, and supporting production systems.
  • Demonstrated ability to turn ambiguous business needs into delivered technical solutions.
Preferred Skills / Experience
  • Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, Cognitive Services, and enterprise AI platforms.
  • Experience building Generative AI solutions using Azure OpenAI, OpenAI, Claude, or comparable LLM platforms.
  • Strong programming experience with Python, C#, TypeScript, JavaScript, Java, and .NET technologies.
  • Experience developing full stack applications using React, TypeScript, Node.js, Python, and C#/.NET.
  • Experience designing, developing, securing, and supporting REST APIs and enterprise integration services.
  • Experience with Databricks, Snowflake, and governed enterprise data and analytics platforms.
  • Experience with RAG, semantic search, vector databases, AI orchestration, agentic AI, guardrails, evaluation, and human-in-the-loop workflows.
  • Experience with Salesforce platform development, integrations, REST APIs, workflows, and data services.
  • Experience integrating with or supporting ServiceNow workflows, ITSM, CMDB, service catalog, and automation processes.
  • Experience developing data visualization, analytics, and operational reporting solutions using Power BI.
  • Experience with Docker, Kubernetes, Infrastructure as Code, Azure Monitor, Application Insights, or comparable platforms.
  • Knowledge of distributed systems, event-driven architecture, asynchronous processing, and resiliency patterns.
  • Experience leading application modernization, cloud transformation, or platform engineering initiatives.
  • Experience in healthcare, specialty pharmacy, regulated industries, or high-compliance environments.
Travel, Work Arrangement & Physical Requirements
  • Hybrid or remote work arrangement based on business needs.
  • Limited travel may be required for collaboration, planning, stakeholder discovery, or solution workshops.
  • Ability to work on a computer for extended periods and participate in virtual collaboration activities.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$126,000 - $210,000

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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