Job
Description
About The Role
Project Role :Custom Software Engineer
Project Role Description :Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills :SAP Generative AI
Good to have skills :NA
Minimum 12 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:As a SAP Platform experts, you will serve as an integral member of the SAP Platform Ranger Squad team, with responsibilities that include conducting technology and platform assessments, providing informed recommendations, and driving improvements in the architecture, design, and deployment of large-scale SAP applications, infrastructure, data, integrations, and related systems. The role places a strong emphasis on automation, performance optimization, and operational excellence. You will be expected to innovate and scale SAP solutions and applications, ensuring their seamless integration and high availability across the enterprise. Additionally, as a platform ranger, you should demonstrate proficiency with the latest technologies and tools, such as generative AI, and actively disseminate this expertise throughout all SAP solutions. Key Responsibilities
Lead AI-driven solution design and delivery using Generative and Agentic AI to solve complex business problems, automate processes, and integrate intelligent insights into enterprise operations for measurable impact.Serve as a Subject Matter Expert (SME) for SAP BTP and GenAI solutions.Building technical architecture design aligning with SAP and enterprise standards.Architect and implement Generative AI pipelines on SAP BTP, leveraging SAP AI Core, Generative AI Hub, and SAP HANA Cloud (Vector Engine + Knowledge Graph Engine).Design and manage RAG (Retrieval-Augmented Generation) and GraphRAG workflows to improve the grounding, accuracy, and interpretability of LLM outputs.Integrate Large Language Models (LLMs) and Foundation Models (FMs) with enterprise data sources through grounding modules, vector similarity search, and semantic search.Build Knowledge Graphs and ontologies to model enterprise domains and link contextual data for reasoning and relationship-aware GenAI applications.Develop LangChain / LangGraph-based orchestration pipelines for prompt templating, retrieval, generation, and post-processing.Implement data-masking, content filtering, and schema-based output parsing to ensure compliance, privacy, and structured response formats.Collaborate with development teams using SAP Cloud Application Programming (CAP) model to embed AI capabilities into cloud-native applications.Work with multitenant SaaS architectures ensuring secure tenant isolation and hyperscaler-agnostic deployments.Employ chunking, embedding generation, and vector store management to enable efficient information retrieval and contextualization.Optimize orchestration pipelines to handle prompt templating, query rewriting, and fusion techniques (e.g., Reciprocal Rank Fusion) for enhanced retrieval precision.Lead end-to-end lifecycle of GenAI projectsfrom model integration and fine-tuning in AI Core to deployment, monitoring, and continuous improvement.Collaborate and manage cross-functional teams to deliver high-impact solutions on time and within scope.Map business requirements to AI-powered solution architectures.Mentor and upskill team members through knowledge-sharing sessions and best practice frameworks.Ensure solution scalability, performance, and responsible AI usage principles are embedded throughout the development lifecycle.Track and report project progress, ensuring strategic alignment with business objectives.Technical Skills:Must-Have Skills:Experience:13+ years of experience in leading SAP BTP & Gen AI initiatives.Deep understanding of SAP BTP services especially AI Core, Generative AI Hub, HANA Cloud (Vector Engine and Knowledge Graph Engine).Expertise with Large Language Models, Foundation Models, and LLM Orchestration Frameworks such as LangChain, LangGraph, or Semantic Kernel.Hands-on experience designing Retrieval-Augmented Generation (RAG) pipelines with embedding, chunking, and vector similarity search.Proficiency in Knowledge Graph design, GraphRAG, and ontology modelling using SAP HANA Cloud or graph databases.Strong grasp of data grounding, semantic enrichment, and enterprise contextualization.Experience with schema-based output parsing, prompt templating, and prompt-engineering best practices & AI evaluation frameworks.Familiarity with content filtering, data masking, and AI governance / compliance frameworks in enterprise environments.Working knowledge of CAP (Cloud Application Programming model) and SAP Extension Suite for integrating GenAI into enterprise apps.Understanding of vector stores, vector search, and semantic search APIs in HANA Cloud.Exposure to multi-tenant SaaS architecture, hyperscaler-agnostic deployments, and MLOps pipelines for AI solutions.Have handled deployment of large-scale SAP applications, infrastructure, data, integrations, and related systems.Expertise in application design principles, cloud-native development, and integration within SAP ecosystem.Familiarity with integration techniques and tools within the SAP ecosystem.Strong understanding of application design principles and methodologies.Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.Ability to analyze and optimize application performance.End-to-end Python application development, with hands-on experience on agentic AI frameworks.Experience in building SAP BTP GenAI application leveraging SAP AI Core & Gen AI Hub.Experience in building APIs and ETL pipelines using Python.Exposure to LLM (Large Language Model) integration and LangChain or similar frameworks.Familiarity with Agentic AI frameworks such as LangGraph, CrewAI, or equivalent.Proven capability in identifying and implementing BTP Business AI Services.Experience in Agentic development with A2A protocol with MCP server.Working knowledge of RDF, SPARQL, OWL or equivalent graph technologies.Familiarity with Docker, Kubernetes, and CI/CD automation (GitHub Actions, Jenkins, or SAP Continuous Integration Delivery).Knowledge of observability tools (Prometheus, Grafana) and tracing AI requests through pipelines.Experience deploying AI workloads with Terraform / BTP CLI / Kyma Runtime automation.Awareness of Responsible AI principles:transparency, explainability, fairness, and privacy.Professional SKills:Ability to translate GenAI architectures into business outcomes articulate ROI, adoption, and scalability value.Strong leadership and team management skills.Excellent analytical, communication, and presentation abilities.Demonstrated experience in managing AI-centric innovation programs.Self-driven, adaptable, and passionate about emerging AI technologies.Experience in SAP BTP / Azure development or architecture, with at least 4-5 years focused on AI / ML / GenAI.Experience with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) Demonstrated knowledge of GraphRAG and Vector Enginebased retrieval for large-scale enterprise use cases.Certifications in Python Development, SAP BTP Solution Architect, SAP GenAI Developer or AI-related frameworks are a plus.Strong communication and leadership skills for client engagement and stakeholder management.Additional Informations:Problem-solving, effective communication, teamwork.Strategic thinking, client-focused articulation, conflict resolution.Education:Completed minimum of 15 years of full-time education with Bachelors or Masters (B.E./B.Tech/BCA/MCA) in Computer Science, IT, or Electronics & Communication from a recognized institution.Qualification 15 years full time education
