
SAP BTP AI Developer (Senior Associate) , AI & Data, Technology Consulting
Ernst and Young2 hours ago
Singapore, SingaporeMid Level / Senior
Responsibilities
- Design, develop, and deploy AI-enabled applications on SAP BTP.
- Build and integrate machine learning and LLM-based solutions such as chatbots, document processing tools, copilots, and recommendation engines.
- Use SAP AI Core and SAP AI Launchpad for model deployment, orchestration, and lifecycle management.
- Develop APIs, microservices, and integrations with SAP and non-SAP systems.
- Implement generative AI use cases involving prompt engineering, RAG pipelines, embeddings, and vector search.
- Collaborate with solution architects and functional teams to translate business requirements into technical solutions.
- Participate in testing, deployment, and production support.
- Contribute to reusable assets, accelerators, and internal capability building.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3–5 years of experience in software development, preferably in SAP or enterprise environments.
- Experience working in consulting or client-facing environments.
- Hands-on experience with SAP BTP services such as CAP, Cloud Foundry, Kyma, and Integration Suite.
- Exposure to SAP AI Core and/or SAP AI Launchpad, including project or proof-of-concept experience.
- Experience with AI/ML or LLM-based solutions.
- Strong programming skills in Python, JavaScript/Node.js, or Java.
- Understanding of APIs, microservices, and cloud-native development.
- Familiarity with version control and CI/CD pipelines.
- Experience with LLM frameworks or generative AI tools such as LangChain, OpenAI, prompt design, and RAG architecture.
- Exposure to vector databases such as Pinecone or Weaviate.
- Experience integrating with SAP S/4HANA or other SAP systems.
- Knowledge of data processing frameworks or analytics platforms.
- Exposure to AWS, Azure, or GCP.
- Strong problem-solving, communication, collaboration, and workload-prioritization skills.
Benefits
- Competitive remuneration package based on individual and team performance.
- Flexible working arrangements may be available.
- Continuous learning, coaching, and career-development support.
- Inclusive and diverse culture with globally connected teams.