Title: Power Platform AI Developer
Long Description
About Birlasoft:
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.)
Educational Background – Bachelor's degree in Computer Science, Information Technology, or related field.
Location: Any BSL Location
Job Overview
Key Responsibilities
Education: Bachelor’s or master’s degree in computer science, Information Systems, or equivalent experience
Background & expected experiences:
Power Platform AI Developer:
Job Description
• 5–7 years of relevant IT application development experience in Azure AI services, integration technologies, and enterprise solution development.
• Work with business users, technical teams, solution architects, and leadership to ensure AI solution design and implementation align with business goals and technical standards.
• Experience in developing and implementing AI-powered solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence, and Logic Apps.
• Analyze business requirements, assess alternatives, and develop intelligent automation, document processing, enterprise search, and conversational AI solutions.
• Experience in integrating Azure AI services with enterprise applications, APIs, and workflow systems.
• Effort estimation for developing new AI use cases, enhancements, and application integrations.
• Should have worked on multiple enterprise or mid-sized projects involving AI/ML-driven business solutions, workflow automation, or document intelligence use cases.
• Good at requirement gathering and preparing technical design, scope of work, and development approach documents.
Must have skills – Technical
• Strong hands-on experience in Azure AI Foundry for building, managing, and deploying AI-powered solutions.
• Strong experience in Azure OpenAI for implementing generative AI use cases such as chatbots, summarization, content generation, and prompt-based automation.
• Strong experience in Azure AI Search for building enterprise search solutions, indexing content, and enabling retrieval-based AI experiences.
• Strong experience in Azure Document Intelligence for OCR, document classification, form extraction, and structured data processing.
• Strong experience in Logic Apps for workflow automation, system integration, and orchestration of AI-driven business processes.
• Experience integrating Azure AI services with enterprise applications, REST APIs, databases, and Microsoft ecosystem services.
• Hands-on experience in building document processing pipelines, search-based assistants, and workflow-enabled AI applications.
• Good understanding of prompt engineering, grounding patterns, chunking, indexing, and AI response optimization.
• Experience with JSON, REST APIs, authentication methods, and integration patterns for enterprise-grade applications.
Area(s) of responsibility
.
About Birlasoft:
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.)
Educational Background – Bachelor's degree in Computer Science, Information Technology, or related field.
Location: Any BSL Location
Job Overview
Key Responsibilities
Education: Bachelor’s or master’s degree in computer science, Information Systems, or equivalent experience
Background & expected experiences:
Power Platform AI Developer:
Job Description
• 5–7 years of relevant IT application development experience in Azure AI services, integration technologies, and enterprise solution development.
• Work with business users, technical teams, solution architects, and leadership to ensure AI solution design and implementation align with business goals and technical standards.
• Experience in developing and implementing AI-powered solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence, and Logic Apps.
• Analyze business requirements, assess alternatives, and develop intelligent automation, document processing, enterprise search, and conversational AI solutions.
• Experience in integrating Azure AI services with enterprise applications, APIs, and workflow systems.
• Effort estimation for developing new AI use cases, enhancements, and application integrations.
• Should have worked on multiple enterprise or mid-sized projects involving AI/ML-driven business solutions, workflow automation, or document intelligence use cases.
• Good at requirement gathering and preparing technical design, scope of work, and development approach documents.
Must have skills – Technical
• Strong hands-on experience in Azure AI Foundry for building, managing, and deploying AI-powered solutions.
• Strong experience in Azure OpenAI for implementing generative AI use cases such as chatbots, summarization, content generation, and prompt-based automation.
• Strong experience in Azure AI Search for building enterprise search solutions, indexing content, and enabling retrieval-based AI experiences.
• Strong experience in Azure Document Intelligence for OCR, document classification, form extraction, and structured data processing.
• Strong experience in Logic Apps for workflow automation, system integration, and orchestration of AI-driven business processes.
• Experience integrating Azure AI services with enterprise applications, REST APIs, databases, and Microsoft ecosystem services.
• Hands-on experience in building document processing pipelines, search-based assistants, and workflow-enabled AI applications.
• Good understanding of prompt engineering, grounding patterns, chunking, indexing, and AI response optimization.
• Experience with JSON, REST APIs, authentication methods, and integration patterns for enterprise-grade applications.