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REQUIRED SKILLS / QUALIFICATIONS • Hands-on Azure OpenAI, Azure AI Foundry, and Azure AI Search experience. • Strong Python engineering and REST API development skills. • Production experience ...
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Dallas, TX · On-site
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Azure OpenAI / AI Cloud Engineer
Houston, TX · On-site
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Dallas, TX · On-site
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Azure AI Apps Architect
Dallas, TX · On-site
$62.75 - $82/hr
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Azure AI Apps Architect
Dallas, TX · On-site
$62.75 - $82/hr
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Azure AI Apps Architect
Dallas, TX · On-site
$62.75 - $82/hr
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Sr Azure AI Engineer
Coppell, TX · On-site
$70/hr
Position Title: Sr Azure AI Engineer Location: Coppell, TX (Onsite, In Office Daily) Job Type: Contract-to-Hire Pay Rate: $70 / Hour Benefits: This position is eligible for medical, dental, vision ...
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Sr Azure AI Engineer
Coppell, TX · On-site
$70/hr
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Azure AI Apps Architect
Dallas, TX · On-site
$62.75 - $82/hr
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Azure AI Apps Architect
Dallas, TX · On-site
$62.75 - $82/hr
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$62.75 - $81.75/hr
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Azure AI Applications Engineer
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Azure AI Applications Engineer
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AI Engineer
$110K - $150K/yr
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AI Engineer
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Vector databases such as Pinecone, Azure AI Search, or OpenSearch. * Docker/Kubernetes. * CI/CD and DevOps practices. * Enterprise AI application development.
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Houston, TX · On-site
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Houston, TX · On-site
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Azure Cloud Security Engineer contract C2C jobs in TX
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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?
| Aspect | Assistant Azure Ai Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Azure certifications, basic programming skills | Statistics, data analysis, programming (Python/R) |
| Work Environment | Cloud platforms, AI development teams | Data analysis, research, modeling |
| Industry Usage | AI solutions, cloud services | Data 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:
Other
Posted 6 days ago
Job description
MUST :While applying send 3 Professional manager or director level references with there email ID, designation and contact number.needed
Senior AI Engineer - Enterprise AI Solutions
Location: Chicago, IL or Houston, TX | Work Arrangement: Onsite
Ongoing Contract Role
POSITION SUMMARY
Engineers secure production-grade Generative AI solutions for enterprise and legal use cases. This is an AI engineering role focused on RAG, enterprise search, agents, APIs, identity, evaluation, and safeguards - not a pure data-science or prompt-engineering position.
KEY RESPONSIBILITIES
• Design secure RAG solutions using Azure OpenAI, Azure AI Foundry, and Azure AI Search.
• Build ingestion, parsing, chunking, metadata, embedding, vector/hybrid search, and indexing pipelines.
• Develop Python services, REST APIs, and agent workflows using Semantic Kernel, LangChain, or similar frameworks.
• Enforce Entra ID/Managed Identity authorization and permission-aware retrieval so users access only authorized content.
• Create evaluation frameworks for grounding, relevance, quality, latency, and safety.
• Implement controls for hallucination, prompt injection, data leakage, content safety, logging, and production monitoring.
REQUIRED SKILLS / QUALIFICATIONS
• Hands-on Azure OpenAI, Azure AI Foundry, and Azure AI Search experience.
• Strong Python engineering and REST API development skills.
• Production experience with RAG, embeddings, vector/hybrid search, and enterprise retrieval.
• Experience building AI agents or multi-step AI workflows.
• Semantic Kernel, LangChain, LlamaIndex, or comparable orchestration experience.
• Entra ID, Managed Identity, RBAC, and Azure Key Vault experience.
• Understanding of AI security risks, authorization-aware retrieval, evaluation, and responsible AI controls.
PREFERRED QUALIFICATIONS
• Microsoft 365, SharePoint Online, Microsoft Graph, Teams, or Copilot Studio integration experience.
• Experience with legal knowledge, document, or records-management content and confidentiality/privilege requirements.
Please send me the below information with ID Proof (DL /State ID), and Word format resume
Candidate skill summary:
1. Basic Information:
First Name:
Last Name:
DOB (MM/DD):
Current Location:
Date Available:
Work Authorization:
Email Address:
Mobile Number:
LinkedIn:
Are you fine to attend video interview :
A small write up why you think an ideal match for this role :
Please mention the Pay Rate/hr all Inc on w2 (Monthly payroll) :
Are you fine to relocate and work Onsite from the client location , do mention the location you like to work of the above two ( Y/N) :
Last 4 dight SSN# :
3 Professional managerial Level refs with their email id and contact number
2. Experience Details:
Total Experience:
Exp on the below Skills
About Advent Global Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Houston, TX, US
Year founded
1997