3 Managed Identities Jobs

As an experienced Python developer with over 5 years of experience, you will be responsible for leveraging your strong knowledge of Azure services to contribute to the development and maintenance of various software solutions. Your expertise in Azure services, including Azure Functions, App Services, Azure Storage, and Virtual Machines, will be crucial in ensuring the seamless operation of the systems. You will also utilize your experience with Azure DevOps (CI/CD), Azure Pipelines, and Infrastructure as Code to streamline the development process and implement best practices. Hands-on experience with logging and monitoring tools such as Azure Monitor, Application Insights, and Log Analytics will enable you to proactively identify and address any issues that may arise. Proficiency in SQL and NoSQL databases, specifically Azure SQL and CosmosDB, will be essential for managing data effectively and efficiently. Additionally, familiarity with security best practices on Azure, including IAM, Role-Based Access Control, and Managed Identities, will help ensure the security and integrity of the systems you work on. A good understanding of agile methodologies and Git-based version control systems is required to collaborate effectively with team members and contribute to the overall success of the projects. Your ability to adapt to changing requirements and work in a fast-paced environment will be key to delivering high-quality solutions that meet the needs of the organization.,

As an Azure Integration Developer, you will be responsible for developing Azure integration solutions using various tools such as Logic Apps, APIM, Service Bus, and Functions. Your primary focus will be on Azure DevOps, including CI/CD pipelines, YAML configurations, and ARM/Bicep deployments. You will leverage your expertise in Bicep for Infrastructure as Code (IaC) to efficiently deploy Azure resources. To excel in this role, you should have a Bachelor's degree in Computer Science, IT, or a related field, or equivalent practical experience. You should possess a minimum of 5 years of hands-on experience in Azure integration development, along with a strong understanding of enterprise integration patterns (EIP), REST/SOAP APIs, and messaging protocols like queues and topics. Additionally, you should be well-versed in monitoring tools such as Azure Monitor and Application Insights, as well as logging mechanisms like Log Analytics. Familiarity with security best practices, including OAuth, certificates, and managed identities, is essential. A problem-solving mindset coupled with robust debugging and troubleshooting skills will be beneficial in this role. Your success as an Azure Integration Developer will also rely on your excellent communication and collaboration skills, enabling you to effectively work with cross-functional teams to deliver high-quality solutions that meet business requirements.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Principal Consultant - AI Senior Engineer! In this role you&rsquoll be leveraging Azure&rsquos advanced AI capabilities or AWS Advance Ai capability, including Azure Machine Learning , Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence,AWS Sage Maker, AWS Bedrocks to deliver scalable and efficient solutions. You will also ensure seamless integration into enterprise workflows and operationalize models with robust monitoring and optimization. Responsibilities . AI Orchestration - Design and manage AI Orchestration flow using tools such as: Prompt Flow, Or LangChain Continuously evaluate and refine models to ensure optimal accuracy, latency, and robustness in production. . Document AI and Data Extraction, Build AI-driven workflows for extracting structured and unstructured data fromLearning, receipts, reports, and other documents using Azure AI Document Intelligence, and Azure Cognitive Services. . RAG Systems - Design and implement retrieval-augmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval Optimize RAG workflows for large datasets and low-latency operations. . Monitoring and Optimization - Implement advanced monitoring systems using Azure Monitor, Application Insights, and Log Analytics to track model performance and system health Continuously evaluate and refine models and workflows to meet enterprise-grade SLAs for performance and reliability. . Collaboration and Documentation - Collaborate with data engineers, software developers, and DevOps teams to deliver robust and scalable AI-driven solutions Document best practices, workflows, and troubleshooting guides for knowledge sharing and scalability. Qualifications we seek in you Minimum Qualifications . Proven experience with Machine Learning, Azure OpenAI, PrompFlow, Azure Cognitive Search, Azure AI Document Intelligence, AWS Bedrock, SageMaker Proficiency in building and optimizing RAG systems for document retrieval and comparison. . Strong understanding of AI/ML concepts, including natural language processing (NLP), embeddings, model fine-tuning, and evaluation Experience in applying machine learning algorithms and techniques to solve complex problems in real-world applications Familiarity with state-of-the-art LLM architectures and their practical implementation in production environments Expertise in designing and managing Prompt Flow pipelines for task-specific customization of LLM outputs. . Hands-on experience in training LLMs and evaluating their performance using appropriate metrics for accuracy, latency, and robustness Proven ability to iteratively refine models to meet specific business needs and optimize them for production environments. . Knowledge of ethical AI practices and responsible AI frameworks. . Experience with CI/CD pipelines using Azure DevOps or equivalent tools Familiarity with containerized environments managed through Docker and Kubernetes. . Knowledge of Azure Key Vault, Managed Identities, and Azure Active Directory (AAD) for secure authentication. . Experience with PyTorch or TensorFlow. . Proven track record of developing and deploying Azure-based AI solutions for large-scale, enterprise-grade environments. . Strong analytical and problem-solving skills, with a results-driven approach to building scalable and secure systems. Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.