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Project Role : Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : .NET Architecture
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: We are seeking a highly experienced Senior .NET Architect who brings deep expertise in Microsoft technologies and has hands-on experience in AI/ML-based system design and implementation. The ideal candidate will drive the implementation of our AI architectural strategy aimed at infusing AI capabilities into our enterprise system. Roles & Responsibilities: .NET Architecture - Lead architecture, design, and implementation of scalable and secure enterprise applications using .NET Core/.NET 6+, C#, and related Microsoft technologies. - Define and enforce coding standards, architectural patterns (e.g., microservices, DDD, event-driven), and best practices. - Guide refactoring efforts and modernization of legacy systems to cloud-native architectures (Azure). - Collaborate closely with DevOps for CI/CD pipelines, containerization (Docker/Kubernetes), and deployment strategies. AI/ML Strategy & Integration - Collaborate with product teams to identify areas where AI/ML can be embedded (e.g., prediction models, NLP, recommendation engines, intelligent automation). - Architect and integrate AI models using tools like Azure Machine Learning, ML.NET, Semantic Kernel, or Open AI/LLM APIs. - Evaluate AI model performance, scalability, and ethical implications in production systems. - Lead Proof of Concepts (PoCs) on AI use cases, from ideation to deployment. Leadership & Collaboration - Serve as a technology thought leader and mentor to development teams. - Work cross-functionally with Product Management, Data Science, QA, and UI/UX to deliver end-to-end solutions. - Perform code reviews, architecture reviews, and security audits. Professional & Technical Skills: - Hands-on with Azure AI stack (e.g., Azure Cognitive Services, Azure OpenAI, Azure ML). - Experience with LLMs (e.g., GPT-4, LangChain), chatbots, or generative AI. - Understanding of data science workflow and MLOps. - Familiarity with frontend frameworks (e.g., Angular/React) for full-stack exposure. - Exposure to security standards (compliance). Additional Information: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 10+ years of experience in software development with at least 3+ years in an architectural or leadership role. - Expertise in .NET Core, C#, Web API, Entity Framework, and asynchronous programming. - Proven experience designing cloud-native applications on Azure (preferred) or AWS. - Strong exposure to AI/ML models, frameworks, and real-world deployment (e.g., ML.NET, TensorFlow, Azure Cognitive Services, OpenAI APIs). - Familiarity with REST, gRPC, GraphQL, and API security standards (OAuth2, JWT). - Experience in building scalable solutions using microservices, event-driven architecture (e.g., Kafka, Azure Event Grid), and CQRS.15 years full time education
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : .NET Architecture
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: We are seeking a highly experienced Senior .NET Architect who brings deep expertise in Microsoft technologies and has hands-on experience in AI/ML-based system design and implementation. The ideal candidate will drive the implementation of our AI architectural strategy aimed at infusing AI capabilities into our enterprise system. Roles & Responsibilities: .NET Architecture - Lead architecture, design, and implementation of scalable and secure enterprise applications using .NET Core/.NET 6+, C#, and related Microsoft technologies. - Define and enforce coding standards, architectural patterns (e.g., microservices, DDD, event-driven), and best practices. - Guide refactoring efforts and modernization of legacy systems to cloud-native architectures (Azure). - Collaborate closely with DevOps for CI/CD pipelines, containerization (Docker/Kubernetes), and deployment strategies. AI/ML Strategy & Integration - Collaborate with product teams to identify areas where AI/ML can be embedded (e.g., prediction models, NLP, recommendation engines, intelligent automation). - Architect and integrate AI models using tools like Azure Machine Learning, ML.NET, Semantic Kernel, or Open AI/LLM APIs. - Evaluate AI model performance, scalability, and ethical implications in production systems. - Lead Proof of Concepts (PoCs) on AI use cases, from ideation to deployment. Leadership & Collaboration - Serve as a technology thought leader and mentor to development teams. - Work cross-functionally with Product Management, Data Science, QA, and UI/UX to deliver end-to-end solutions. - Perform code reviews, architecture reviews, and security audits. Professional & Technical Skills: - Hands-on with Azure AI stack (e.g., Azure Cognitive Services, Azure OpenAI, Azure ML). - Experience with LLMs (e.g., GPT-4, LangChain), chatbots, or generative AI. - Understanding of data science workflow and MLOps. - Familiarity with frontend frameworks (e.g., Angular/React) for full-stack exposure. - Exposure to security standards (compliance). Additional Information: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 10+ years of experience in software development with at least 3+ years in an architectural or leadership role. - Expertise in .NET Core, C#, Web API, Entity Framework, and asynchronous programming. - Proven experience designing cloud-native applications on Azure (preferred) or AWS. - Strong exposure to AI/ML models, frameworks, and real-world deployment (e.g., ML.NET, TensorFlow, Azure Cognitive Services, OpenAI APIs). - Familiarity with REST, gRPC, GraphQL, and API security standards (OAuth2, JWT). - Experience in building scalable solutions using microservices, event-driven architecture (e.g., Kafka, Azure Event Grid), and CQRS.15 years full time education
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Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
