AI Architect
Irving, TX · On-site
$150K - $201K/yr
Must Have Technical/Functional Skills • Must Have: • Azure ML, Azure OpenAI, Cognitive Services, Agentic Framework • Databricks, Synapse, Data Factory • AKS, Docker, Kubernetes • Python ...
AI Architect
Irving, TX · On-site
$150K - $201K/yr
Must Have Technical/Functional Skills • Must Have: • Azure ML, Azure OpenAI, Cognitive Services, Agentic Framework • Databricks, Synapse, Data Factory • AKS, Docker, Kubernetes • Python ...
Experience with Kubernetes, Docker, Azure ML, Databricks, and MLflow. * Good understanding of RAG, Vector Databases, GPU Optimization, Quantization, KV Cache, PagedAttention, and ContinuoDynamic ...
Experience with Kubernetes, Docker, Azure ML, Databricks, and MLflow. * Good understanding of RAG, Vector Databases, GPU Optimization, Quantization, KV Cache, PagedAttention, and ContinuoDynamic ...
Machine learning Engineer
Pennington, NJ · On-site
$105K - $125K/yr
CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML Model versioning, monitoring, retraining workflows Docker, Kubernetes for deployment Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn ...
Machine learning Engineer
Pennington, NJ · On-site
$105K - $125K/yr
CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML Model versioning, monitoring, retraining workflows Docker, Kubernetes for deployment Programming & Cloud: Strong Python (NumPy, pandas, scikit-learn ...
Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale. * Monitor model performance in production, diagnose drift and ...
Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale. * Monitor model performance in production, diagnose drift and ...
Senior ML Ops Engineer
Philadelphia, PA · On-site
$99K - $137K/yr
... Azure, Databricks, and foundation model APIs such as OpenAI). • Maintain and version model ... Required : • Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI ...
Senior ML Ops Engineer
Philadelphia, PA · On-site
$99K - $137K/yr
... Azure, Databricks, and foundation model APIs such as OpenAI). • Maintain and version model ... Required : • Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI ...
Programmers.io is seeking a Senior AI/ML Architect to lead design and implementation of scalable GenAI solutions on Azure cloud. You will drive embeddings, prompt/context engineering, and secure data ...
Programmers.io is seeking a Senior AI/ML Architect to lead design and implementation of scalable GenAI solutions on Azure cloud. You will drive embeddings, prompt/context engineering, and secure data ...
Testing not a real job
Alexandria, VA · On-site
Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale.Monitor model performance in production, diagnose drift and degradation ...
Quick apply
Testing not a real job
Alexandria, VA · On-site
Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale.Monitor model performance in production, diagnose drift and degradation ...
Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP). * Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g ...
Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP). * Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g ...
Data Scientist (AI/ML, Python)
Alpharetta, GA · On-site
$380 - $400/day
Leverage cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) for training and deployment. Conduct statistical modeling to extract actionable insights and validate model performance. Lead ...
Data Scientist (AI/ML, Python)
Alpharetta, GA · On-site
$380 - $400/day
Leverage cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) for training and deployment. Conduct statistical modeling to extract actionable insights and validate model performance. Lead ...
AI/ML Engineer
Aventura, FL · On-site
Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: • 5+ years of experience in AI/ML engineering ...
AI/ML Engineer
Aventura, FL · On-site
Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: • 5+ years of experience in AI/ML engineering ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$108K - $147K/yr
Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace). * Implement MLOps solutions including CI/CD for ML, model versioning, monitoring ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$108K - $147K/yr
Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace). * Implement MLOps solutions including CI/CD for ML, model versioning, monitoring ...
Machine Learning / AI Engineer (Lead) with Azure&Snowflake : Alpharetta GA or Bay area , CA (1 day i
Atlanta, GA · On-site
$98K - $129K/yr
Machine Learning / AI Engineer (Lead) with Azure&Snowflake Location :: Alpharetta GA or Bay area ... This role will serve as the technical advisor and mentor for citizen data scientists and ML ...
Machine Learning / AI Engineer (Lead) with Azure&Snowflake : Alpharetta GA or Bay area , CA (1 day i
Atlanta, GA · On-site
$98K - $129K/yr
Machine Learning / AI Engineer (Lead) with Azure&Snowflake Location :: Alpharetta GA or Bay area ... This role will serve as the technical advisor and mentor for citizen data scientists and ML ...
Senior ML Ops Engineer
Philadelphia, PA · On-site
$99K - $137K/yr
... Azure, Databricks, and foundation model APIs such as OpenAI). • Maintain and version model ... Required : • Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI ...
Senior ML Ops Engineer
Philadelphia, PA · On-site
$99K - $137K/yr
... Azure, Databricks, and foundation model APIs such as OpenAI). • Maintain and version model ... Required : • Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI ...
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Position: Gen AI/ML Solution Architect Location: Houston, TX - (5 days onsite per week) Notes ... Build and integrate predictive models, leveraging cloud-based platforms such as Azure Machine ...
Quick apply
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Position: Gen AI/ML Solution Architect Location: Houston, TX - (5 days onsite per week) Notes ... Build and integrate predictive models, leveraging cloud-based platforms such as Azure Machine ...
AI Solution Architect
Bellevue, WA · On-site
$71 - $93.75/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 Required ...
AI Solution Architect
Bellevue, WA · On-site
$71 - $93.75/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 Required ...
... Azure). • Design and maintain forecasting pipelines -- at SKU, category, and regional hierarchy ... Required : • 8+ years in data science or applied ML roles • 3+ years in CPG, FMCG, or retail ...
... Azure). • Design and maintain forecasting pipelines -- at SKU, category, and regional hierarchy ... Required : • 8+ years in data science or applied ML roles • 3+ years in CPG, FMCG, or retail ...
AI/ML Engineer
Aventura, FL · On-site
Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: · 5+ years of experience in AI/ML engineering ...
AI/ML Engineer
Aventura, FL · On-site
Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: · 5+ years of experience in AI/ML engineering ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$109K - $148K/yr
... Azure ML, Databricks, Ray, HuggingFace). • Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection. • Shape AI system design decisions ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$109K - $148K/yr
... Azure ML, Databricks, Ray, HuggingFace). • Implement MLOps solutions including CI/CD for ML, model versioning, monitoring, logging, and drift detection. • Shape AI system design decisions ...
AI / ML Engineer Manager
Arlington, VA · On-site
... Azure, GCP). • Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML). • Proficiency with containerization ...
AI / ML Engineer Manager
Arlington, VA · On-site
... Azure, GCP). • Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML). • Proficiency with containerization ...
AI Solutions Architect - Remote
Jersey City, NJ · On-site +1
$69 - $90.75/hr
Remote Duration: 12 months Role Overview As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions ...
AI Solutions Architect - Remote
Jersey City, NJ · On-site +1
$69 - $90.75/hr
Remote Duration: 12 months Role Overview As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions ...
Azure Ml information
See salary details
$11.06 - $17.31
3% of jobs
$17.31 - $23.56
0% of jobs
$23.56 - $29.81
0% of jobs
$29.81 - $36.06
0% of jobs
$36.06 - $42.31
2% of jobs
$42.31 - $48.56
5% of jobs
$52.70 is the 25th percentile. Wages below this are outliers.
$48.56 - $54.81
22% of jobs
The median wage is $58.36 / hr.
$54.81 - $61.06
31% of jobs
$64.79 is the 75th percentile. Wages above this are outliers.
$61.06 - $67.31
19% of jobs
$67.31 - $73.56
12% of jobs
$73.56 - $79.81
5% of jobs
$11
$58
$79
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.
More about Azure Ml jobs
What cities are hiring for Azure Ml jobs? Cities with the most Azure Ml job openings:
What are the most commonly searched types of Azure Ml jobs? The most popular types of Azure Ml jobs are:
What states have the most Azure Ml jobs? States with the most job openings for Azure Ml jobs include:
What job categories do people searching Azure Ml jobs look for? The top searched job categories for Azure Ml jobs are:
$150K - $201K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 4 days ago
Job description
Must Have Technical/Functional Skills
• Must Have:
• Azure ML, Azure OpenAI, Cognitive Services, Agentic Framework
• Databricks, Synapse, Data Factory
• AKS, Docker, Kubernetes
• Python, REST APIs
• GitHub / Azure DevOps, ML OPS
Roles & Responsibilities
We are seeking a highly skilled Azure AI / Agentic AI Architect to design, build, and scale enterprise-grade AI platforms using Azure AI Services.
The role focuses on multi-agent architecture, Generative AI, and intelligent automation, enabling business transformation through scalable, secure,
and governed AI solutions:
Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services, and multi-agent orchestration frameworks for enterprise use cases.
Architect enterprise AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data pipelines to enable scalable and reusable AI capabilities.
Develop and orchestrate multi-agent workflows including reasoning, tool/function calling, memory management, and agent-to-agent communication.
Integrate Generative AI, NLP, and ML models into enterprise applications using Azure OpenAI, Cognitive Services, and RAG-based architectures with Azure AI Search.
Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows, recommendation systems, and analytics platforms.
Design end-to-end AI architecture layers including interaction, orchestration, integration, model enablement, and data layers aligned with enterprise standards.
Evaluate and implement AI/ML models and tools based on performance, scalability, cost optimization, and use-case suitability.
Ensure Responsible AI, governance, and security compliance using Azure capabilities such as Entra ID, Key Vault, Content Safety, and enterprise guardrails.
Implement observability and LLMOps practices including monitoring, evaluation, drift detection, performance tuning, and telemetry using Azure Monitor and Application Insights.
Collaborate with cross-functional stakeholders (product, engineering, business teams) to convert business requirements into scalable AI solutions.
Develop architecture diagrams, technical documentation, and deployment strategies for enterprise AI platforms.
Lead Pocs and innovation initiatives to validate AI use cases and accelerate production adoption.
Must-Have:
• Hands-on experience with Azure AI Services (Azure OpenAI, Cognitive Services, Azure AI Search)
• Strong experience in GenAI / LLMs, RAG, and prompt engineering
• Expertise in Agentic AI frameworks / multi-agent orchestration (Lang Graph, Lang smith, Lang chain Semantic Kernel, etc.)
• Experience in Python and modern AI/ML frameworks
• Knowledge of vector databases, embeddings, and semantic search
• Experience with cloud-native architectures (Azure preferred)
• Strong understanding of APIs, microservices, and enterprise system integration
Good-to-Have:
• Exper ience with Azure AI Foundry / Agent Services / Prompt Flow
• Knowledge of LLMOps / MLOps pipelines (CI/CD, evaluation frameworks)
• Experience with Databricks, Synapse, or modern data platforms
• Exposure to Responsible AI and governance frameworks
• Experience working in regulated industries (Healthcare, Pharma. Etc.)
Salary Range: $150,000 -$201,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1
• Must Have:
• Azure ML, Azure OpenAI, Cognitive Services, Agentic Framework
• Databricks, Synapse, Data Factory
• AKS, Docker, Kubernetes
• Python, REST APIs
• GitHub / Azure DevOps, ML OPS
Roles & Responsibilities
We are seeking a highly skilled Azure AI / Agentic AI Architect to design, build, and scale enterprise-grade AI platforms using Azure AI Services.
The role focuses on multi-agent architecture, Generative AI, and intelligent automation, enabling business transformation through scalable, secure,
and governed AI solutions:
Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services, and multi-agent orchestration frameworks for enterprise use cases.
Architect enterprise AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data pipelines to enable scalable and reusable AI capabilities.
Develop and orchestrate multi-agent workflows including reasoning, tool/function calling, memory management, and agent-to-agent communication.
Integrate Generative AI, NLP, and ML models into enterprise applications using Azure OpenAI, Cognitive Services, and RAG-based architectures with Azure AI Search.
Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows, recommendation systems, and analytics platforms.
Design end-to-end AI architecture layers including interaction, orchestration, integration, model enablement, and data layers aligned with enterprise standards.
Evaluate and implement AI/ML models and tools based on performance, scalability, cost optimization, and use-case suitability.
Ensure Responsible AI, governance, and security compliance using Azure capabilities such as Entra ID, Key Vault, Content Safety, and enterprise guardrails.
Implement observability and LLMOps practices including monitoring, evaluation, drift detection, performance tuning, and telemetry using Azure Monitor and Application Insights.
Collaborate with cross-functional stakeholders (product, engineering, business teams) to convert business requirements into scalable AI solutions.
Develop architecture diagrams, technical documentation, and deployment strategies for enterprise AI platforms.
Lead Pocs and innovation initiatives to validate AI use cases and accelerate production adoption.
Must-Have:
• Hands-on experience with Azure AI Services (Azure OpenAI, Cognitive Services, Azure AI Search)
• Strong experience in GenAI / LLMs, RAG, and prompt engineering
• Expertise in Agentic AI frameworks / multi-agent orchestration (Lang Graph, Lang smith, Lang chain Semantic Kernel, etc.)
• Experience in Python and modern AI/ML frameworks
• Knowledge of vector databases, embeddings, and semantic search
• Experience with cloud-native architectures (Azure preferred)
• Strong understanding of APIs, microservices, and enterprise system integration
Good-to-Have:
• Exper ience with Azure AI Foundry / Agent Services / Prompt Flow
• Knowledge of LLMOps / MLOps pipelines (CI/CD, evaluation frameworks)
• Experience with Databricks, Synapse, or modern data platforms
• Exposure to Responsible AI and governance frameworks
• Experience working in regulated industries (Healthcare, Pharma. Etc.)
Salary Range: $150,000 -$201,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1