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Ai Applications Engineer Jobs in Texas (NOW HIRING)

Lantern

Azure AI Applications Engineer

Dallas, TX

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

This role involves architecting and implementing scalable AI applications, providing technical leadership, and mentoring junior engineers to drive innovation in various sectors including healthcare ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

Lantern is a company that values a culture of trust and collaboration, and they are seeking an Azure AI Applications Engineer to lead the development of intelligent applications using Microsoft Azure ...

Marquam Group

Azure AI Applications Engineer

Dallas, TX · On-site

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

They are seeking an Azure AI Applications Engineer to lead the development of intelligent applications leveraging Microsoft Azure's AI ecosystem, working across various sectors to deliver innovative ...

Katten

Applications Engineer

Dallas, TX · On-site

Applications Engineer The Applications Engineer is a highly skilled technical position, responsible ... Maintain awareness of industry trends and emerging technologies, including Microsoft Copilot, AI ...

Katten

Applications Engineer

Dallas, TX · Hybrid

Applications Engineer The Applications Engineer is a highly skilled technical position, responsible ... Maintain awareness of industry trends and emerging technologies, including Microsoft Copilot, AI ...

Renesas Electronics

Applications Engineer

Austin, TX · On-site

... AI-focused power delivery business. Products include high-performance digital power VRMs ... Work with senior applications, design and test engineers to validate new digital multiphase ...

Renesas Electronics

Applications Engineer

Austin, TX · On-site

... AI-focused power delivery business. Products include high-performance digital power VRMs ... Work with senior applications, design and test engineers to validate new digital multiphase ...

Renesas Electronics

Applications Engineer

Austin, TX · On-site

... AI-focused power delivery business. Products include high-performance digital power VRMs ... Work with senior applications, design and test engineers to validate new digital multiphase ...

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Ai Applications Engineer information

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

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

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Ai Applications Engineer jobs near you

Azure AI Applications Engineer

Lantern

Dallas, TX

Full-time

Re-posted 7 days ago

Job description

Azure AI Applications Engineer

We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the power of Microsoft Azure's AI ecosystem. This role is ideal for a seasoned engineer with deep expertise in cloud-native development, AI services, and solution architecture. You will collaborate across practices to deliver transformative solutions for clients in healthcare, retail, energy, and technology sectors. Your work will shape the future of intelligent apps at Lantern, driving innovation and impact.

Key Responsibilities
  • Architect and implement scalable, secure, and high-performance AI applications using Azure AI services such as Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.
  • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Blazor) and cloud-native patterns (e.g., APIs, microservices, containers, event-driven architecture).
  • Lead the integration of Azure App Services, Functions, and Storage into intelligent solutions that meet enterprise-grade performance and compliance standards.
  • Collaborate with cross-functional teams to define solution architecture, DevOps pipelines, and infrastructure-as-code using tools like Azure DevOps, GitHub Actions, Bicep, ARM, or Terraform.
  • Provide strategic consulting and technical leadership to clients, guiding them through AI adoption, app modernization, and platform engineering.
  • Mentor junior engineers and contribute to practice development through reusable patterns, accelerators, and thought leadership.
Skills, Knowledge and Expertise
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • 6+ years of experience in cloud-native application development, technical consulting, and leading customer-facing projects.
  • 4+ years of experience in Azure technologies
  • Proficiency in programming languages such as Python or C#, with experience building intelligent apps using Azure AI services.
  • Strong understanding of Azure architecture, including App Services, Functions, Storage, Networking (private endpoints, security), and DevOps practices.
  • Experience with frontend frameworks like React, Angular, Blazor, or Vue.
  • Familiarity with infrastructure-as-code tools such as ARM, Bicep, or Terraform.
  • Technical certifications in Azure (e.g., AZ-900, AZ-204, AZ-305, AZ-102) are highly desirable.
  • Exceptional communication and leadership skills, with the ability to translate complex technical concepts into business value for stakeholders.
Benefits
  • A culture that both wows our customers and employees; 
  • Variety of challenging projects, and the ability to work with leading-edge technologies; 
  • Competitive salary & group benefits; 
  • Generous training and education opportunities; 
  • Diverse team social events;
  • Be part of a team that believes in diversity, inclusion, and a fun atmosphere!

Apply