5 Azure Foundry Jobs

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. We're seeking a skilled Custom Copilot engineer to join the group of our NCLC Consulting team. You'll be instrumental in designing, developing, and deploying robust, scalable applications leveraging the power of Microsoft Azure and generative AI. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings. Your Key Responsibilities: - Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills. - Performs coding, debugging, testing, and troubleshooting throughout the development process contributing to moderately complex aspects of a project. - Maintains and enhances systems by fixing complicated errors, raising risks, and escalating issues where necessary. - Works with users to capture detailed requirements, translating designs and solution architecture into design specifications. - Monitors and reports on potential risks/opportunities of emerging technologies and seeks areas for continuous improvement. - Ensures all activities adhere to the relevant processes, procedures, standards, and technical design. - Develops and promotes best practices for usage, operations, and development. - Strong analytical and communication skills with an intense drive to learn and adopt. Skills and attributes: - Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service. - Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through a plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault, Container Apps, Blob Storage, Cosmos DB. - Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain, and Semantic Kernel. - Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles. - Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry. - Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency. - Knowledge of cloud computing and Azure infrastructure. - Craft precise and effective prompts to guide AI models and improve their outputs. - Monitor and analyze Azure AI costs to ensure efficient resource utilization. - Develop and integrate custom tools within AI agents to extend their capabilities. - Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents. - Integrate AI-powered features into full-stack web applications to improve user experience and efficiency. - Collaborate with data scientists and machine learning engineers to deploy AI models into production. - Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies. - Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps. Required Skills and Experience: - Overall 4+ years of experience in Azure, .NET Core, Python, and M365 suite of products. - Min 2 years of experience in developing Generative AI applications using Azure OpenAI. - Proficiency in languages like C#, Python, JavaScript, and TypeScript. - Strong proficiency in Microsoft Azure, including Azure Functions, Azure App Service, Azure SQL Database, Azure Cosmos DB, and Azure AI Studio. - Hands-on experience with generative AI technologies, such as OpenAI and Large Language Models (LLMs). - Proficiency in prompt engineering and fine-tuning AI models and developing applications for RAG applications. - Experience of front-end technologies like HTML, CSS, and JavaScript (React or Angular) for full-stack web application development. - Understanding of CI/CD pipelines and DevOps practices. - Strong problem-solving, analytical, and communication skills. - Ability to work independently and as part of a team. Desired Skills: - Knowledge of Low-code technologies like Logic Apps, Microsoft Power Platform (Power Apps, Power Automate) is good to have. - Understanding of cloud-native development principles and microservices architecture. - Experience with containerization technologies like Docker and Kubernetes. - Understanding of security best practices for cloud applications. To qualify for the role, you must have: - A bachelor's or master's degree. - A minimum of 4+ years of experience, preferably a background in a professional services firm. - Strong knowledge with M365 Suite of products. - Excellent communication skills with consulting experience preferred. Ideally, you'll also have: - Analytical ability to manage multiple projects and prioritize tasks into manageable work products. - Can operate independently or with minimum supervision. What Working At EY Offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a Better Working World: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Greetings!!! This is in regards to a Job opportunity for AI Lead - Agentic AI & RAG with Datamatics Global Services Ltd. Position: AI Lead - Agentic AI & RAG Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.

AI Tech Lead to spearhead the architecture, development, deployment of advanced enterprise AI solutions built on the Microsoft Azure ecosystem, leveraging Azure Foundry, Vector Databases, and Graph-based Retrieval-Augmented Generation(Graph RAG). Required Candidate profile This strategic role involves leading the full-stack AI development—connecting SharePoint, SQL, custom application layers—to build intelligent bots, real-time decision systems, and AI transformation

Job Overview: We are seeking an experienced and passionate Technical Manager/Lead to spearhead our cutting-edge AI initiatives including Phoenix Ask , Phoenix Report Writer , and upcoming AI-powered features. This role will lead a team of 5 Senior Developers focused on developing, deploying, and maintaining advanced AI capabilities using state-of-the-art models and technologies. Key Responsibilities: Lead the design, development, and deployment of scalable AI features and tools. Manage and mentor a team of senior AI developers. Collaborate with cross-functional teams (Product, UX, DevOps) to deliver commercial-ready AI features. Architect AI-driven solutions using modern frameworks and cloud platforms. Ensure best practices in model selection, prompt engineering, fine-tuning, and evaluation. Deploy AI applications using Azure Foundry , AWS Bedrock , and similar platforms. Oversee integration of models like GPT-4o , GPT-o3 , Claude , and LLaMA into business products. Maintain robust documentation and ensure product scalability and performance. Required Skills & Experience: 5+ years of experience in AI/ML development with at least 2 years in a leadership role . Strong expertise in Langchain , Pydantic , and FastAPI . Experience working with MCP (Modular Code Platforms or Microsoft Cloud Platform clarify as needed). Proven hands-on experience with deploying models like GPT-4o, GPT-o3, Claude, LLaMA . Solid understanding of AI model training , fine-tuning , and industry-standard tools . Strong deployment experience on Azure Foundry and AWS Bedrock or equivalent cloud services. Ability to manage sprints, code reviews, and project delivery timelines. Preferred Qualifications: Master's/Bachelors degree in Computer Science, Artificial Intelligence, or related field. Experience in integrating AI with enterprise systems. Prior work on generative AI or natural language applications.

Greetings!!! This is in regards to a Job opportunity for AI Engineer - Chatbot with Datamatics Global Services Ltd. Position: AI Engineer - Chatbot Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.