Top Tech Jobs & Startup Jobs in Mumbai

Analyzes and improves business workflows, identifies process inefficiencies, and develops optimization solutions. Collaborates with stakeholders to define product requirements and use cases, facilitates workshops, documents process improvements, and designs continuous monitoring and feedback mechanisms. The role also serves as a subject matter expert, supports team decisions, and contributes solutions across multiple teams using SAP Portfolio and Project Management.

Designs end-to-end enterprise data integration solutions using SAP BusinessObjects Data Services. Responsibilities include ETL development, transformation, data quality, governance, monitoring, performance optimization, testing, incident response, and modernization. The role also develops AI-augmented ETL capabilities using metadata analysis, retrieval-grounded recommendations, automated mapping generation, anomaly detection, and evaluation loops.

Develop scalable enterprise full-stack applications using Java and modern frameworks. Build frontend and backend components, integrate APIs and AI services, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while maintaining software quality, scalability, and delivery speed.

Develop scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, debugging, testing, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, and CI/CD best practices.

Develop and enhance scalable enterprise full-stack applications using Java and modern frameworks. Build frontend and backend components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, and CI/CD practices.

Lead the design, architecture, development, deployment, and optimization of enterprise SAP Generative and Agentic AI solutions. Build RAG and GraphRAG pipelines using SAP BTP, AI Core, Generative AI Hub, HANA Cloud, LLMs, knowledge graphs, and orchestration frameworks. Integrate AI into SAP applications, ensure scalability, security, compliance, observability, and responsible AI practices, and collaborate with customers and cross-functional teams while mentoring technical staff.

Design and deliver enterprise-grade full-stack software solutions using Java and modern frameworks. Define scalable architectures, integrate AgentAI tools, LLM copilots, RAG, conversational APIs, and cloud-native services, and optimize APIs, data flows, and user interfaces. Ensure SDLC, security, performance, reliability, and responsible AI governance standards. Collaborate with traditional engineering and AI-native teams to accelerate development through AI-assisted coding, testing, debugging, documentation, and design.

Design and deliver enterprise SAP Generative and Agentic AI solutions on SAP BTP. Architect RAG and GraphRAG pipelines using AI Core, Generative AI Hub, HANA Cloud vector and knowledge graph capabilities, LLMs, and orchestration frameworks. Integrate AI into SAP applications with CAP, ensure governance, privacy, scalability, and observability, and lead deployment and optimization. Translate business processes into AI workflows, manage cross-functional delivery, mentor teams, and align solutions with measurable business outcomes.

Develop scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate APIs and AI services, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while following engineering best practices, agile methods, SDLC processes, and CI/CD practices.

Leads the design, configuration, integration, evolution, and release management of packaged and SaaS solutions using Databricks. Establishes platform standards for stability, performance, scalability, and business alignment; manages technical decisions, coordinates stakeholders, develops best practices, solves cross-team issues, and mentors team members.