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Assistant Azure Ai Engineer Jobs in Texas (NOW HIRING)

BravoTech

Sr AI Developer

Irving, TX · On-site

This role is ideal for a hands-on cloud AI engineer with deep expertise designing, deploying, securing, and optimizing enterprise AI platforms in Microsoft Azure environments. The ideal candidate ...

Scadea

.Net Engineer

Houston, TX · On-site

AI Engineer with experience in Azure AI Foundry, Generative AI, and .NET development to build and integrate AI-powered enterprise applications. Design, develop, and maintain .NET applications to meet ...

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Senior Gen AI / Agentic AI Engineer Role Overview We are seeking a highly skilled Senior Gen AI ... Deploy AI workloads on AWS, Azure, and GCP , using services such as Bedrock, SageMaker, Azure ...

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

Forward Deployed AI Engineer Location: Houston, TX - Fully Onsite Compensation: $75.00 - $120.00 ... Azure is preferred. * Ability to work directly with nontechnical users and translate loosely ...

CirrusLabs

AI Data Engineer

Spring, TX · On-site

$101K - $122K/yr

Experience with Azure, particularly in relation to data storage, integration, processing, and AI services. • Programming Languages: Proficiency in SQL and DAX; familiarity with Python or R for AI ...

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

Forward Deployed AI Engineer Location: Houston, TX - Fully Onsite Compensation: $75.00 - $120.00 ... Azure is preferred. * Ability to work directly with nontechnical users and translate loosely ...

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

This is a hands-on engineering role focused on building production-ready AI platforms from ... Deploy cloud-native AI solutions across AWS, Azure, and GCP using Docker, Kubernetes, and ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Deploy, monitor, and scale AI solutions on Azure, AWS, or GCP , using containerized environments ... Programming & Frameworks: Python, FastAPI, SQL, CosmosDB, Flask, Streamlit, Chainlit * Frontend:

Pereview Software, LLC.

AI Engineer

Dallas, TX · On-site

$90 - $120/hr

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

Tata Consultancy Service Limited

AI Architect

Irving, TX · On-site

$150K - $201K/yr

... GitHub / Azure DevOps, ML OPS Roles & Responsibilities We are seeking a highly skilled Azure AI ... Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows ...

KPMG US

AI Engineer- Manager

Dallas, TX · On-site

... Azure OpenAI, Google Cloud), AI frameworks (LangChain/LangGraph, Semantic Kernel), and building ... DevOps, Git for version control, and implementing CI/CD pipelines for automated testing and ...

Strategic Staffing Solutions

Senior AI Engineer

Irving, TX

$100K - $137K/yr

Senior Engineer - AI Engineering Irving, Texas Microsoft Copilot Studio Position Summary We are ... Azure AI Foundry experience is beneficial but not required. Key Responsibilities Design, build, and ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Integrate OpenAI and Azure OpenAI services into production applications * Develop APIs, backend services, and data pipelines supporting AI initiatives * Collaborate with product managers, engineers ...

Diamondbackenergy

AI Developer

Dallas, TX

Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize ...

Diamondback Energy, Inc.

AI Developer

Dallas, TX · On-site

$110 - $170/hr

Working across Microsoft Azure (including Azure Databricks and Azure AI Foundry), Snowflake, and Anthropic's Claude and Claude Agent SDK, the AI Developer will prototype, build, and productionize ...

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All JobsAzure Ai Engineer JobsAssistant Azure Ai Engineer JobsAssistant Azure Ai Engineer Jobs in Texas

Assistant Azure Ai Engineer information

What does an Assistant Azure AI Engineer do?

An Assistant Azure AI Engineer supports the design, development, and deployment of artificial intelligence solutions using Microsoft Azure's cloud platform. They assist more senior engineers in building, testing, and maintaining AI models and services, such as natural language processing, computer vision, and machine learning. Common tasks include preparing data, configuring Azure AI services, integrating models into applications, and monitoring their performance. This role often involves collaboration with data scientists, developers, and IT teams to ensure AI solutions meet business needs and operate efficiently.

What are the key skills and qualifications needed to thrive as an Assistant Azure AI Engineer?

To thrive as an Assistant Azure AI Engineer, you need a solid background in computer science, proficiency in programming languages like Python, and a foundational understanding of machine learning concepts, often supported by a relevant degree or certification. Familiarity with Microsoft Azure AI tools, such as Azure Machine Learning, Cognitive Services, and DevOps pipelines, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help candidates excel in this evolving field. These skills and qualities are crucial for building scalable AI solutions and collaborating effectively within diverse technical teams.

What types of projects and collaboration can an Assistant Azure AI Engineer expect in their first year?

As an Assistant Azure AI Engineer, you’ll typically start by working on smaller components of larger AI projects, such as developing, testing, or deploying machine learning models using Azure’s tools. You’ll frequently collaborate with data scientists, software developers, and cloud architects to integrate AI solutions into existing systems. Expect to participate in team meetings, code reviews, and brainstorming sessions to solve real-world business challenges. Over time, you may take on more complex tasks and gain exposure to end-to-end project workflows, setting a solid foundation for career growth.

What is the difference between Assistant Azure Ai Engineer vs Data Scientist?

AspectAssistant Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, data analysis, programming (Python/R)
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageAI solutions, cloud servicesData analysis, predictive modeling

The Assistant Azure Ai Engineer primarily focuses on developing and deploying AI solutions within Azure cloud environments, often working with AI tools and services. In contrast, Data Scientists analyze data, build models, and generate insights, often using statistical and programming skills. While both roles involve data and AI, the Assistant Azure Ai Engineer emphasizes cloud-based AI deployment, whereas Data Scientists focus on data analysis and modeling.

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 cities in Texas are hiring for Assistant Azure Ai Engineer jobs?

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

Assistant Azure Ai Engineer jobs near you

Sr AI Developer

BravoTech

Irving, TX • On-site

Full-time

Re-posted 25 days ago

Job description


Senior AI Developer w/MS Fabric
Bravotech, a leader in IT staffing and staff augmentation services, is seeking a talented Sr. AI Developer/Architect w/ Fabric
Skills: AI/ML Solutions, MS Stack, Azure, Azure Data Factory, MS Fabric, Fabric Data Factory, Fabric Data Pipelines, Fabric Semantic Models, Medallion Architecture, Python, MLOps, CI/CD, Leadership skills, Go-getter, Able to speak to business leaders in layman's terms about projects.
This role is ideal for a hands-on cloud AI engineer with deep expertise designing, deploying, securing, and optimizing enterprise AI platforms in Microsoft Azure environments.
The ideal candidate will possess strong experience with Azure AI services, cloud-native AI architecture, MLOps, scalable deployment patterns, and enterprise-grade security and governance.
Top Skills
  • Microsoft Azure AI & Cloud Services
  • Azure OpenAI Service
  • Azure Machine Learning (Azure ML)
  • Microsoft Fabric
  • Azure Data Factory (ADF)
  • Python
  • AI/ML Deployment & MLOps
  • Kubernetes / AKS
  • GPU Workloads
  • Cloud Security & Governance
  • CI/CD Automation
  • Infrastructure as Code (Terraform / Bicep)
Key Responsibilities
  • 70% - Hands-On AI Development & Engineering
  • 30% - Business Partnership & Solution Leadership
  • AI Platform Architecture & Deployment
  • Design, build, and deploy scalable AI/ML platforms in Microsoft Azure.
  • Implement enterprise AI solutions using Azure OpenAI, Azure ML, Azure AI Services, and Microsoft Fabric.
  • Architect end-to-end AI pipelines from data ingestion and preprocessing through model deployment, monitoring, and retraining.
  • Deploy GPU-intensive AI workloads using Azure Kubernetes Service (AKS), Azure VM Scale Sets, or containerized cloud environments.
  • Design highly available and fault-tolerant AI infrastructure supporting enterprise-scale workloads.
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads
  • 30% - Business Partnership & Solution Leadership
  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization
  • AI Engineering & Cloud Integration
  • Integrate AI solutions with Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, and enterprise data platforms.
  • Build MLOps pipelines for automated training, testing, deployment, and model lifecycle management.
  • Implement CI/CD pipelines for AI solutions using Azure DevOps or GitHub Actions.
  • Develop APIs and scalable inference endpoints for AI applications and LLM-powered solutions.
  • Security, Governance & Optimization
  • Implement enterprise-grade security controls for AI workloads including RBAC, Managed Identities, Key Vault, Private Endpoints, and network isolation.
  • Ensure compliance with governance, data privacy, and responsible AI standards.
  • Optimize AI cloud infrastructure for performance, scalability, and cost efficiency.
  • Monitor AI workloads for latency, utilization, drift detection, and operational reliability.
  • Collaboration & Leadership
  • Partner with business stakeholders, architects, data engineers, and DevOps teams to deliver AI-driven business solutions.
  • Provide technical leadership on cloud AI architecture and deployment best practices.
  • Evaluate emerging AI cloud technologies and recommend scalable enterprise solutions.
Required Qualifications
  • 5+ years of experience in Azure cloud engineering, AI deployment, or ML platform engineering.
  • Hands-on experience with Azure Machine Learning, Azure OpenAI, Azure AI Services, and Microsoft Fabric.
  • Strong experience deploying AI/ML models into production cloud environments.
  • Experience with Kubernetes, Docker, and scalable GPU-based deployments.
  • Strong understanding of cloud networking, identity management, and security architecture.
  • Must have 2+ years experience with MS Fabric
  • Strong Python scripting and automation skills.
  • Experience with Infrastructure as Code tools such as Terraform, ARM Templates, or Bicep.

70% - Hands-On AI Development & Engineering
  • Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platform (Azure) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads
  • 30% - Business Partnership & Solution Leadership
  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization
  • What Success Looks Like
  • AI solutions deployed into production that generate measurable business impact
  • Reduced time-to-value from idea to implementation
  • Business leaders who trust and understand the AI solutions being delivered
  • Scalable architecture that enables repeatable AI delivery across functions
  • Required Qualifications
  • 7+ years of software development experience
  • 3+ years building and deploying machine learning or AI solutions in production
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
  • Solid understanding of data engineering fundamentals
  • Ability to communicate complex technical ideas clearly and confidently
  • Demonstrated experience working directly with business stakeholders
4 days onsite
USC or GC
Salary w/benefit package
Meet Your Recruiter
Angela Hardemon
Text me about this job - 972-419-1615
Please include your name and Job Title in your Text.
Thanks!
972-419-1615 ahardemon@bravotech.com
972-419-1615 ahardemon@bravotech.com
About Irving, TX
Discover exciting job opportunities in the vibrant city of Irving, Texas! Known for its diverse community and thriving economy, Irving offers endless possibilities for career growth and development. With its close proximity to Dallas Fort Worth International Airport, major corporations, and charming neighborhoods like Las Colinas, Irving is the perfect place to advance your career. Explore job listings in this bustling city and be part of the dynamic energy that surrounds attractions like the Toyota Music Factory, the Irving Arts Center, and the Mustangs of Las Colinas sculpture. Embrace the blend of Texan hospitality and cosmopolitan flair that makes Irving a truly exceptional place to work and live. Take the next step in your career journey and find your perfect match in Irving, Texas!

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