Senior Manager Azure Artificial Intelligence Senior Engineer
Senior Manager Azure Artificial Intelligence Senior Engineer
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Job Description
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125000 people across 30 countries are driven by our innate curiosity entrepreneurial agility and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises including the Fortune Global 500 with our deep business and industry knowledge digital operations services and expertise in data technology and AI.
Inviting applications for the role of Senior Manager Azure Artificial Intelligence Senior Engineer
In this role youll be leveraging Azures advanced AI capabilities including Azure Machine Learning Azure OpenAI PrompFlow Azure Cognitive Search Azure AI Document Intelligence 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 AIdriven 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 retrievalaugmented generation (RAG) systems using vector embeddings and LLMs for intelligent and efficient document retrieval; Optimize RAG workflows for large datasets and lowlatency 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 enterprisegrade SLAs for performance and reliability.
Collaboration and Documentation Collaborate with data engineers software developers and DevOps teams to deliver robust and scalable AIdriven solutions; Document best practices workflows and troubleshooting guides for knowledge sharing and scalability.
Qualifications we seek in you!
Minimum Qualifications
Proven experience with Azure Machine Learning Azure OpenAI PrompFlow Azure Cognitive Search Azure AI Document Intelligence; 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 finetuning and evaluation; Experience in applying machine learning algorithms and techniques to solve complex problems in realworld applications; Familiarity with stateoftheart LLM architectures and their practical implementation in production environments; Expertise in designing and managing Prompt Flow pipelines for taskspecific customization of LLM outputs.
Handson 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.
Strong understanding of AI/ML concepts including natural language processing (NLP) embeddings model finetuning and evaluation; Experience in applying machine learning algorithms and techniques to solve complex problems in realworld applications; Familiarity with stateoftheart LLM architectures and their practical implementation in production environments; Expertise in designing and managing Prompt Flow pipelines for taskspecific customization of LLM outputs.
Handson 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 Azurebased AI solutions for largescale enterprisegrade environments.
Strong analytical and problemsolving skills with a resultsdriven approach to building scalable and secure systems.
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. Get to know us at genpact and on LinkedIn X YouTube and Facebook.
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 starter kit paying to apply or purchasing equipment or training.
Required Experience:
Senior Manager
Employment Type
Full-Time
