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Azure Ml Jobs (NOW HIRING)

Texas State Library and Archives Commision

AI Architect

$65 - $84.75/hr

... Search Azure ML Cognitive Services Deep expertise in RAG architectures LLMs and a broad sound knowledge of Microsoft technologies NET Azure M365 Power Platform DevOps is essential Key ...

Northern Base

AI architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Not Specified ✅ Must-Have Qualifications: ✔ 8-22 years of experience in AI/ML Architecture, Generative AI, and Enterprise AI Solutions ✔ Strong hands-on experience with Azure ML, Azure OpenAI ...

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Experience with cloud platforms (AWS, Azure, or GCP) and services like SageMaker, Vertex AI, or Azure ML. * Experience with version control (Git) and containerization tools like Docker and Kubernetes.

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD · On-site

Citizenship • TS/SCI w/ Polygraph Preferred : • MLOps / model lifecycle tools • Cloud ML services (AWS SageMaker, Azure ML) • Experience with large-scale or real-time systems Company

ClifyX

Senior AI/ML Developer

Irving, TX · On-site

... Azure ML, CI/CD, and automated orchestration (Airflow, Prefect, Autosys). • Ensure data quality, security, and compliance with model governance (SR 11 7), explainability, and financial regulatory ...

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How much do azure ml jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for azure ml in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is an Azure ML?

An Azure ML job refers to a machine learning task executed within Microsoft Azure Machine Learning, a cloud-based platform for building, training, and deploying ML models. Jobs can include data preprocessing, model training, hyperparameter tuning, and inference deployment. Users can run jobs using compute resources such as Azure Machine Learning compute clusters or virtual machines. Jobs are typically orchestrated using Azure ML Pipelines, SDKs, or Studio for automation and reproducibility.

What does an Azure ML do?

Professionals in Azure ML roles are typically responsible for designing and deploying machine learning models, pre-processing and analyzing large datasets, and monitoring model performance in Azure’s cloud environment. Daily tasks often include writing and optimizing code, integrating services and APIs, automating ML pipelines, and collaborating closely with data scientists, engineers, and business analysts. You may also be involved in troubleshooting production issues, conducting research to improve algorithms, and documenting your workflows. This role requires adaptability and good organizational skills to manage multiple projects in a dynamic, team-oriented setting.

What are the key skills and qualifications needed to thrive in the Azure ML position?

To thrive as an Azure ML professional, you need a strong background in machine learning, data science, and programming (commonly Python or R), often supported by a relevant degree or certifications such as Microsoft Certified: Azure AI Engineer Associate. Experience with Azure Machine Learning Studio, cloud computing environments, workflow orchestration, and automation tools is essential. Effective communication, problem-solving abilities, and a collaborative mindset further distinguish top candidates. These skills are crucial to successfully designing, deploying, and managing scalable AI solutions on Azure's cloud platform while working effectively with data teams and stakeholders.

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Azure Ml jobs near you
Infographic showing various Azure Ml job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

AI Architect

Texas State Library and Archives Commision

Remote

$65 - $84.75/hr

Full-time

Re-posted 6 days ago

Job description

We are seeking a seasoned AI Architect with 15 years of overall technology experience including 5 years in hands on architecture leadership The ideal candidate will drive AI solutions from ideation to implementation lead performance finetuning actively participate in RFPs and presales and architect robust solutions leveraging Azure AI services Azure OpenAI Service Azure AI Search Azure ML Cognitive Services Deep expertise in RAG architectures LLMs and a broad sound knowledge of Microsoft technologies NET Azure M365 Power Platform DevOps is essential
Key Responsibilities
Architecture Technical Leadership
Own end to end AI solution architecture discovery use case selection PoC pilot production hardening and scale out
Define reference architectures for RAG retriever vector index chunking embeddings ranking orchestration LLM apps agents and multimodel pipelines on Azure
Provide technical direction across engineering teams applications data ML platform security ensuring solution integrity and adherence to Microsoft best practices
Lead design reviews threat modeling and governance AIOps/MLOps for reliability performance security and cost
Azure AI Solutioning Delivery
Architect solutions with Azure OpenAI Service Azure AI Search vector hybrid Azure AI Foundry Cognitive Services Language Speech Vision Prompt Flow Semantic Kernel
Integrate with Azure Functions App Service/AKS Event Hub/Service Bus Cosmos DBSQL DB Key Vault Private Endpoints VNET and API Management
Translate business outcomes into solution blueprints backlogs epics nonfunctional requirements NFRs and operational runbooks
Drive Responsible AI guardrails content filters safety policies data privacy and compliance
Act as the technical owner and primary architectural contact for customers product managers and delivery leadership
Mentor engineers/architects build reusable patterns libraries and accelerators
Lead and contribute to RFPs, RFIs solution approach architecture diagrams delivery plan cost effort estimation BoQBoM assumptions risks and win themes
Run customer ideation workshops discovery sessions and executive briefings craft compelling value narratives and differentiators
Required Qualifications
15 years in software solution engineering with 5 years as Architect Lead Principal level
Proven track record driving AI solutions from ideation to implementation in enterprise environments
Expertise in RAG architectures and LLM application design prompting orchestration tool use grounding
Handson with Azure AI services
Azure OpenAI Service assistants LLM APIs prompt engineering costperf controls
Azure AI Search vector search hybrid retrieval custom scoring/reranking
Azure ML training deployment model registry pipelines
Cognitive Services Language Speech Vision
Strong performance engineering skills load testing profiling token optimization caching autoscaling GPUCPU sizing and telemetry
RFPPreSales experience solutioning proposal authoring estimations and customer workshops
Microsoft technologies NETC ASPNET Core Azure PaaS GitHubAzure DevOps Power PlatformM365 SQL Server Cosmos DB API Management Event HubService Bus
Solid grounding in security compliance identity Entra ID VNETPE Key Vault encryption data governance Responsible AI practices
Excellent communication stakeholder management and documentation skills

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