10 days ago
Mumbai, India +3 moreMid Level
Responsibilities
- Design, build, and operationalize enterprise-grade SAP Generative AI and Agentic AI solutions.
- Translate SAP business processes and requirements into AI-driven workflows and scalable solution architectures.
- Architect and implement GenAI pipelines using SAP BTP, SAP AI Core, Generative AI Hub, and SAP HANA Cloud.
- Design RAG and GraphRAG workflows using embeddings, vector similarity search, semantic search, knowledge graphs, and ontologies.
- Integrate LLMs and foundation models with enterprise data sources and develop LangChain or LangGraph orchestration pipelines.
- Embed AI capabilities into cloud-native SAP applications using the CAP model and SAP Extension Suite.
- Implement data masking, content filtering, schema-based output parsing, AI evaluation, and responsible AI controls.
- Lead the end-to-end GenAI lifecycle, including model integration, fine-tuning, deployment, monitoring, and continuous improvement.
- Ensure scalability, performance, tenant isolation, compliance, and hyperscaler-agnostic deployment across SAP landscapes and customer environments.
- Collaborate with product, engineering, data, and customer teams; mentor team members and track project progress.
Requirements
- At least 3 years of professional experience.
- A minimum of 15 years of full-time education; a bachelor's or master's degree in Computer Science, IT, Electronics and Communication, or a related field is specified.
- Deep expertise in SAP BTP, SAP AI Core, Generative AI Hub, and SAP HANA Cloud Vector Engine and Knowledge Graph Engine.
- Hands-on experience with LLMs, foundation models, RAG pipelines, embeddings, chunking, vector search, GraphRAG, and knowledge graphs.
- Experience with LangChain, LangGraph, Semantic Kernel, prompt engineering, prompt templating, query rewriting, and AI evaluation frameworks.
- Working knowledge of SAP CAP, SAP Extension Suite, multi-tenant SaaS architecture, MLOps, cloud-native development, and SAP integrations.
- Experience with Agentic AI, A2A protocol, MCP server, RDF, SPARQL, OWL, or equivalent graph technologies.
- Experience with Docker, Kubernetes, Terraform, BTP CLI, Kyma Runtime, CI/CD automation, Prometheus, and Grafana.
- Ability to design secure, scalable, compliant, responsible, and performance-optimized AI solutions and communicate effectively with clients.
- SAP certifications, including SAP Certified Associate - Positioning SAP Business AI Solutions as part of SAP Business Suite, are preferred.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.