azure ai engineer

Lithan Academy

Position OverviewWe are seeking highly skilled Azure AI Engineer to join our team. The engineers will be responsible for designing, developing, and deploying AI-powered applications on Microsoft&rsquo;s Azure ecosystem. This role will involve working with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, MCP (Model Context Protocol) services, and Power Platform integrations to deliver intelligent solutions, such as chatbots, knowledge agents, and adaptive multi-LLM models.The engineers will also collaborate with the team to identify the appropriate technology stack, establish best practices, and contribute to building scalable, secure, and production-ready AI solutions.Key Responsibilities &middot; Technology Stack Definition Identify, evaluate, and recommend Microsoft and Azure-based technologies for AI/LLM development, ensuring scalability and security. &middot; AI Application Development Design and implement AI applications such as chatbots, conversational agents, and multi-LLM orchestration using Azure AI and Copilot Studio. &middot; Multi-LLM Integration Implement provider-agnostic orchestration and model routing across Azure OpenAI, OpenAI, and other providers (e.g., via Semantic Kernel hybrid model orchestration, LangChain routing, or LiteLLM) &middot; MCP Integration Develop and manage MCP (Model Context Protocol) services for orchestrating responses across OpenAI, Azure OpenAI, and other LLM providers. &middot; End-to-End Deployment Build, test, and deploy applications on Azure (VMs, AKS, Functions, App Services, etc.), ensuring reliability and high availability. &middot; Power Platform Integration Extend applications using Power Apps, Power Automate, and Power Pages to connect AI services with business processes. &middot; Data &amp; Knowledge Engineering Integrate Azure Cognitive Services, Azure Search, Dataverse, and vector databases for knowledge ingestion, semantic search, and retrieval-augmented generation (RAG). &middot; Data Pipelines Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation. &middot; Collaboration &amp; Documentation Work closely with product managers, solution architects, and business stakeholders to translate requirements into technical solutions. Maintain technical documentation and reusable assets. &middot; Continuous Improvement Stay updated with Microsoft&rsquo;s AI advancements (Azure AI Studio, Fabric, Synapse, Cognitive Services) and incorporate them into project designs.Required Skills &amp; Qualifications &middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, or a related field. &middot; 3&ndash;6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms.Certifications in Microsoft Certified:<ul><li>AI-102 &ndash; Azure AI Engineer Associate or Azure Solutions Architect</li><li>DP-100 &ndash; Azure Data Scientist Associate</li><li>AZ-204 &ndash; Azure Developer Associate</li><li>AZ-400 &ndash; Azure DevOps Engineer Expert</li></ul>&middot; Hands-on experience with: o Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI) o Knowledge Microsoft Copilot Studio &amp; Power Platform o Azure Functions, AKS (Kubernetes), App Services, Logic Apps o Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.) o Azure Fabric Pipelines &middot; Strong programming background in Python, C#, or Node.js for AI/LLM development. &middot; Experience in multi-LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel). &middot; Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions. &middot; Understanding of enterprise security, compliance, and data governance in Azure.Preferred Skills &middot; Experience integrating AI into enterprise systems (Eg. CRM, ERP, LMS). &middot; Familiarity with RAG pipelines, prompt engineering, and fine-tuning LLMs. &middot; Design and manage Azure core infrastructure (networking, IAM, storage, monitoring) to support AI workloads. &middot; Implement Azure Monitor, Log Analytics, and Application Insights to track performance, reliability, and cost of AI applications. &middot; Ensure enterprise-grade security with Azure Key Vault, Azure AD / Entra ID role-based access, and policy enforcement. &middot; Implement infrastructure-as-code using ARM templates, Bicep, or Terraform for repeatable deployments &middot; Exposure to Agile/Scrum methodologies for project delivery.Job Type: Full-timePay: &#8377;185,000.00 - &#8377;240,000.00 per month

Azure AI Engineer - India

Position OverviewWe are seeking highly skilled Azure AI Engineer to join our team. The engineers will be responsible for designing, developing, and deploying AI-powered applications on Microsoft&rsquo;s Azure ecosystem. This role will involve working with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, MCP (Model Context Protocol) services, and Power Platform integrations to deliver intelligent solutions, such as chatbots, knowledge agents, and adaptive multi-LLM models.The engineers will also collaborate with the team to identify the appropriate technology stack, establish best practices, and contribute to building scalable, secure, and production-ready AI solutions.Key Responsibilities &middot; Technology Stack Definition Identify, evaluate, and recommend Microsoft and Azure-based technologies for AI/LLM development, ensuring scalability and security. &middot; AI Application Development Design and implement AI applications such as chatbots, conversational agents, and multi-LLM orchestration using Azure AI and Copilot Studio. &middot; Multi-LLM Integration Implement provider-agnostic orchestration and model routing across Azure OpenAI, OpenAI, and other providers (e.g., via Semantic Kernel hybrid model orchestration, LangChain routing, or LiteLLM) &middot; MCP Integration Develop and manage MCP (Model Context Protocol) services for orchestrating responses across OpenAI, Azure OpenAI, and other LLM providers. &middot; End-to-End Deployment Build, test, and deploy applications on Azure (VMs, AKS, Functions, App Services, etc.), ensuring reliability and high availability. &middot; Power Platform Integration Extend applications using Power Apps, Power Automate, and Power Pages to connect AI services with business processes. &middot; Data &amp; Knowledge Engineering Integrate Azure Cognitive Services, Azure Search, Dataverse, and vector databases for knowledge ingestion, semantic search, and retrieval-augmented generation (RAG). &middot; Data Pipelines Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation. &middot; Collaboration &amp; Documentation Work closely with product managers, solution architects, and business stakeholders to translate requirements into technical solutions. Maintain technical documentation and reusable assets. &middot; Continuous Improvement Stay updated with Microsoft&rsquo;s AI advancements (Azure AI Studio, Fabric, Synapse, Cognitive Services) and incorporate them into project designs.Required Skills &amp; Qualifications &middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, or a related field. &middot; 3&ndash;6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms.Certifications in Microsoft Certified:<ul><li>AI-102 &ndash; Azure AI Engineer Associate or Azure Solutions Architect</li><li>DP-100 &ndash; Azure Data Scientist Associate</li><li>AZ-204 &ndash; Azure Developer Associate</li><li>AZ-400 &ndash; Azure DevOps Engineer Expert</li></ul>&middot; Hands-on experience with: o Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI) o Knowledge Microsoft Copilot Studio &amp; Power Platform o Azure Functions, AKS (Kubernetes), App Services, Logic Apps o Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.) o Azure Fabric Pipelines &middot; Strong programming background in Python, C#, or Node.js for AI/LLM development. &middot; Experience in multi-LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel). &middot; Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions. &middot; Understanding of enterprise security, compliance, and data governance in Azure.Preferred Skills &middot; Experience integrating AI into enterprise systems (Eg. CRM, ERP, LMS). &middot; Familiarity with RAG pipelines, prompt engineering, and fine-tuning LLMs. &middot; Design and manage Azure core infrastructure (networking, IAM, storage, monitoring) to support AI workloads. &middot; Implement Azure Monitor, Log Analytics, and Application Insights to track performance, reliability, and cost of AI applications. &middot; Ensure enterprise-grade security with Azure Key Vault, Azure AD / Entra ID role-based access, and policy enforcement. &middot; Implement infrastructure-as-code using ARM templates, Bicep, or Terraform for repeatable deployments &middot; Exposure to Agile/Scrum methodologies for project delivery.Job Type: Full-timePay: Rs185,000.00 - Rs240,000.00 per monthWork Location: Remote

Azure AI Engineer - (remote)

PeoplePlusTech Inc.

Job Title: AI EngineerLocation: Remote work / Anywhere in IndiaWork Hours: Shift starts between 12pm to 2pm IST (8 hour shift) Summary: <ul><li>Design, build, and continuously enhance the AI models powering an Azure-based agentic platform. The AI Engineer ensures these models are accurate, aligned, scalable, and compliant&mdash;leveraging Azure AI services and modern machine learning techniques to deliver intelligent, safe, and adaptive capabilities.</li></ul>Responsibilities:<ul><li>Design, build, and fine-tune AI models using Azure OpenAI, Cognitive Services, and custom LLMs.</li><li>Perform monthly and on-demand model fine-tuning based on user feedback and performance metrics.</li><li>Continuously monitor AI outputs for bias, hallucinations, and accuracy, implementing corrective workflows.</li><li>Develop, enhance, and maintain Retrieval-Augmented Generation (RAG) pipelines and vector databases.</li><li>Support integration of AI models into production with scalable APIs and workflows.</li><li>Collaborate with Data Scientists, Engineers, and Developers to ensure consistent model deployment.</li><li>Create benchmarks and automated validation systems for AI model evaluation.</li><li>Ensure compliance with Responsible AI principles, SOC2, GDPR, and data privacy frameworks.</li><li>Enhance the AI feedback loop through prompt optimization, embeddings, and output evaluation.</li><li>Leverage Azure AI services (OpenAI, AI Search, Document Intelligence, Vector DB) for model orchestration.</li></ul>Qualifications: <ul><li>Any AI Platform experience is okay (Azure Agentic AI Platform *Preferred)</li><li>Proven experience in AI/ML engineering and LLM operations (fine-tuning, embeddings, RAG).</li><li>Strong programming skills in Python, including frameworks such as PyTorch, TensorFlow, and spaCy.</li><li>Hands-on experience with Azure AI tools (OpenAI, Cognitive Search, AI Studio, Data Lake).</li><li>Knowledge of prompt engineering, orchestration frameworks, and vector database optimization.</li><li>Understanding of Responsible AI, model governance, and compliance standards.</li><li>Experience deploying and managing models in production environments using CI/CD and Azure DevOps.</li></ul>Job Types: Full-time, Contractual / TemporaryPay: &#8377;500.00 - &#8377;2,500.00 per hourExpected hours: 40 per weekBenefits:<ul><li>Work from home</li></ul>Application Question(s):<ul><li>Are you open to work as a Full Time Independent Contractor? (Yes or No)</li><li>Are you amenable to work in a Remote work set up? (Yes or No)</li></ul>

AI Engineer (Remote)

Labham PPPB Infrareality

We are looking for a highly skilled AI/ML Engineer with deep expertise in Microsoft Azure and Generative AI (GenAI) technologies. This role involves designing, developing, and deploying cutting-edge AI solutions using LLMs, RAG systems, and MLOps best practices, all within the Microsoft ecosystem.The ideal candidate will have hands-on experience with LangChain, LangGraph, Azure Machine Learning, and vector databases, and will play a pivotal role in building scalable, secure, and production-grade AI systems.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML models using Python, Azure Machine Learning, and Generative AI frameworks.</li><li>Build LLM-powered applications using tools like LangChain, LangGraph, FAISS, and Pinecone.</li><li>Implement and maintain RAG (Retrieval-Augmented Generation) workflows in production environments.</li><li>Integrate AI solutions with Azure services such as Functions, Data Lake, Synapse, and Cognitive Services.</li><li>Apply MLOps principles using Azure DevOps, Docker, and CI/CD pipelines for robust model lifecycle management.</li><li>Monitor and optimize model performance ensuring accuracy, scalability, and reliability.</li><li>Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.</li><li>Ensure adherence to security, compliance, and governance in all AI solution deployments.</li><li>Stay updated on the latest in Azure AI, Generative AI, and machine learning trends.</li></ul>Required Qualifications &amp; Skills:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or related field.</li><li>5+ years of hands-on experience in AI/ML model development using Python.</li><li>Experience with Large Language Models (LLMs) like GPT, Gemini, or similar.</li><li>1+ years of experience with Generative AI and RAG-based systems in production.</li><li>Proficiency with LangChain, LangGraph, and vector DBs (FAISS, Pinecone).</li><li>Solid understanding of deep learning and NLP architectures (Transformers, CNNs, RNNs).</li><li>Practical knowledge of PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, and NumPy.</li><li>Experience with Azure AI stack (Azure ML, Azure Functions, Azure DevOps).</li><li>Familiarity with Docker, REST APIs, and CI/CD pipelines.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred / Nice-to-Have:<ul><li>Azure Certifications &ndash; Azure AI Engineer Associate or Azure Data Scientist Associate.</li><li>Experience with MLOps frameworks and model lifecycle management.</li><li>Knowledge of healthcare data standards (e.g., X12, HL7).</li><li>Familiarity with Power BI or other Microsoft analytics tools.</li></ul>Job Types: Full-time, Contractual / Temporary Contract length: 12 monthsPay: &#8377;100,000.00 - &#8377;120,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

AI/ML Engineer – Azure & GenAI

Job Title: AI EngineerLocation: Anywhere in IndiaShift: starts between 12PM to 2PM IST (8-hour shift)Responsibilities:<ul><li>Design, build, and fine-tune AI models using Azure OpenAI, Cognitive Services, and custom LLMs.</li><li>Perform monthly and on-demand model fine-tuning based on user feedback and performance metrics.</li><li>Continuously monitor AI outputs for bias, hallucinations, and accuracy, implementing corrective workflows.</li><li>Develop, enhance, and maintain Retrieval-Augmented Generation (RAG) pipelines and vector databases.</li><li>Support integration of AI models into production with scalable APIs and workflows.</li><li>Collaborate with Data Scientists, Engineers, and Developers to ensure consistent model deployment.</li><li>Create benchmarks and automated validation systems for AI model evaluation.</li><li>Ensure compliance with Responsible AI principles, SOC2, GDPR, and data privacy frameworks.</li><li>Enhance the AI feedback loop through prompt optimization, embeddings, and output evaluation.</li><li>Leverage Azure AI services (OpenAI, AI Search, Document Intelligence, Vector DB) for model orchestration.</li></ul>Qualifications:<ul><li>Proven experience in AI/ML engineering and LLM operations (fine-tuning, embeddings, RAG).</li><li>Strong programming skills in Python, including frameworks such as PyTorch, TensorFlow, and spaCy.</li><li>Hands-on experience with Azure AI tools (OpenAI, Cognitive Search, AI Studio, Data Lake).</li><li>Knowledge of prompt engineering, orchestration frameworks, and vector database optimization.</li><li>Understanding of Responsible AI, model governance, and compliance standards.</li><li>Experience deploying and managing models in production environments using CI/CD and Azure DevOps.</li></ul>Job Type: Full-timePay: From &#8377;50,000.00 per monthBenefits:<ul><li>Work from home</li></ul>

AI Engineer (URGENT HIRING - REMOTE)

Grant Thornton

<div></div><ul><div>10 - 14 Years</div>
<div></div><div>1 Opening</div>
 <div>Bengaluru</div></ul>
 <div><h3 class="jobSectionHeader">Role description</h3>
<div>Key Responsibilities:
<ul>
<li>Design, develop, and deploy AI/ML models using Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services, OpenAI on Azure) and have experience on Agentic Frameworks.</li>
<li>Collaborate with stakeholders to translate business challenges into AI-based solutions.</li>
<li>Lead end-to-end AI projects: from data collection and preprocessing to model training, evaluation, and deployment.</li>
<li>Integrate open-source frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) into Microsoft cloud environments.</li>
<li>Optimize AI pipelines using MLOps tools (e.g., Azure ML Pipelines, GitHub Actions, MLflow).</li>
<li>Develop data science models for predictive analytics, NLP, computer vision, or generative AI applications.</li>
<li>Champion responsible AI practices, data governance, model fairness, and transparency.</li>
<li>Mentor junior data scientists and engineers; conduct code reviews and knowledge-sharing sessions.</li>
</ul></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>Required Qualifications:
<ul>
<li>10+ years of experience in AI, machine learning, or data science roles.</li>
<li>Strong experience with Microsoft AI/ML stack: Azure Machine Learning, Azure Cognitive Services, Power BI with AI, Azure Synapse Analytics.</li>
<li>Proficiency in open-source AI frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn.</li>
<li>Strong programming skills in Python (preferred), R, or C#.</li>
<li>Deep understanding of data modeling, statistical analysis, and algorithm development.</li>
<li>Experience with cloud-native AI deployments and containerization (Docker, Kubernetes).</li>
<li>Hands-on knowledge of MLOps, CI/CD pipelines, and AI lifecycle management.</li>
<li>Experience working in agile and cross-functional teams.</li>
<li>Excellent communication, leadership, and presentation skills.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Microsoft certifications such as:</li>
<ul><li>Azure AI Engineer Associate</li>
<li>Azure Data Scientist Associate</li>
<li>Azure Solutions Architect Expert</li>
</ul><li>Experience integrating AI into Microsoft Power Platform and Dynamics 365.</li>
<li>Exposure to generative AI (e.g., OpenAI, GPT models on Azure, LLM fine-tuning).</li>
<li>Experience in multi-cloud or hybrid-cloud AI architecture.</li>
<li>Familiarity with open-source data versioning and pipeline tools (e.g., DVC, Kedro, Prefect).</li></ul></div></div>
 <div><h3 class="jobSectionHeader">About Grant Thornton INDUS</h3>
<div>&lsquo;Grant Thornton INDUS&rsquo; comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. What sets us apart isn&rsquo;t just what we do &ndash; it&rsquo;s how we do it. We support and enable the firm&rsquo;s purpose of making business more personal and building trust into every result. We&rsquo;re collaborators &ndash; obsessed with quality and ready for anything &ndash; who understand the value of strong relationships. Our professionals are well integrated to seamlessly support the U.S. engagement teams, help increase Grant Thornton&rsquo;s access to a wide talent pool, and improve operational efficiencies. Empowered people, bold leadership, and distinctive client service are imbibed in the culture at Grant Thornton INDUS. We are a transparent, competitive, and excellence-driven firm that offers an opportunity to be part of something significant. In addition, professionals at Grant Thornton INDUS serve communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India &ndash; Bengaluru and Kolkata</div></div>

Agentic AI Developer - Manager/Architect

<div></div><ul><div>7 - 10 Years</div>
<div></div><div>1 Opening</div>
 <div>Bengaluru</div></ul>
 <div><h3 class="jobSectionHeader">Role description</h3>
<div>Key Responsibilities:
<ul>
<li>Design, develop, and deploy AI/ML models using Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services, OpenAI on Azure) and have experience on Agentic Frameworks.</li>
<li>Collaborate with stakeholders to translate business challenges into AI-based solutions.</li>
<li>Lead end-to-end AI projects: from data collection and preprocessing to model training, evaluation, and deployment.</li>
<li>Integrate open-source frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) into Microsoft cloud environments.</li>
<li>Optimize AI pipelines using MLOps tools (e.g., Azure ML Pipelines, GitHub Actions, MLflow).</li>
<li>Develop data science models for predictive analytics, NLP, computer vision, or generative AI applications.</li>
<li>Champion responsible AI practices, data governance, model fairness, and transparency.</li>
<li>Mentor junior data scientists and engineers; conduct code reviews and knowledge-sharing sessions.</li>
</ul></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>Required Qualifications:
<ul>
<li>10+ years of experience in AI, machine learning, or data science roles.</li>
<li>Strong experience with Microsoft AI/ML stack: Azure Machine Learning, Azure Cognitive Services, Power BI with AI, Azure Synapse Analytics.</li>
<li>Proficiency in open-source AI frameworks: TensorFlow, PyTorch, Hugging Face, Scikit-learn.</li>
<li>Strong programming skills in Python (preferred), R, or C#.</li>
<li>Deep understanding of data modeling, statistical analysis, and algorithm development.</li>
<li>Experience with cloud-native AI deployments and containerization (Docker, Kubernetes).</li>
<li>Hands-on knowledge of MLOps, CI/CD pipelines, and AI lifecycle management.</li>
<li>Experience working in agile and cross-functional teams.</li>
<li>Excellent communication, leadership, and presentation skills.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Microsoft certifications such as:</li>
<ul><li>Azure AI Engineer Associate</li>
<li>Azure Data Scientist Associate</li>
<li>Azure Solutions Architect Expert</li>
</ul><li>Experience integrating AI into Microsoft Power Platform and Dynamics 365.</li>
<li>Exposure to generative AI (e.g., OpenAI, GPT models on Azure, LLM fine-tuning).</li>
<li>Experience in multi-cloud or hybrid-cloud AI architecture.</li>
<li>Familiarity with open-source data versioning and pipeline tools (e.g., DVC, Kedro, Prefect).</li></ul></div></div>
 <div><h3 class="jobSectionHeader">About Grant Thornton INDUS</h3>
<div>&lsquo;Grant Thornton INDUS&rsquo; comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. What sets us apart isn&rsquo;t just what we do &ndash; it&rsquo;s how we do it. We support and enable the firm&rsquo;s purpose of making business more personal and building trust into every result. We&rsquo;re collaborators &ndash; obsessed with quality and ready for anything &ndash; who understand the value of strong relationships. Our professionals are well integrated to seamlessly support the U.S. engagement teams, help increase Grant Thornton&rsquo;s access to a wide talent pool, and improve operational efficiencies. Empowered people, bold leadership, and distinctive client service are imbibed in the culture at Grant Thornton INDUS. We are a transparent, competitive, and excellence-driven firm that offers an opportunity to be part of something significant. In addition, professionals at Grant Thornton INDUS serve communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India &ndash; Bengaluru and Kolkata</div></div>

Agentic AI - Assistant Manager

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