Job Title: Team Lead | AI / ML | Bengaluru | SAP

Team Lead | AI / ML | Bengaluru | SAP
• Job requisition ID : 99708
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP
Team Lead | ET&P-SAP | AI/ML
- Location: Bengaluru
- Entity: Deloitte Touche Tohmatsu India LLP
The team
Enterprise technology has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P
Your work profile
- This role sits at the intersection of:
- Enterprise SAP transformation
- Python-based engineering
- Enterprise Java (Java Springboot, Angular, React, Node.Js)
- Agentic AI product development using LLMs
- Client-facing consulting & solution architecture
- You will help clients transition toward AI-first, touchless operations by embedding LLM-powered agents into SAP ecosystems. Should be capable of Designing and implementing AI-powered SAP automation solutions, Build LLM-driven copilots and autonomous agents for enterprise workflows, Reduce operational costs through intelligent orchestration, Drive innovation in SAP Operate and digital transformation engagements.
- Basic Knowledge on SAP modules (e.g., SAP S/4HANA, ECC, BTP, Fiori, or relevant functional modules).
- Develop enhancements, integrations, and custom solutions using ABAP / RAP / OData services / SAP BTP BPA Workflows
- Design and optimize business processes within SAP landscapes.
- Develop AI copilots for:
- Incident triage & RCA
- Code generation (ABAP / Fiori)
- Business process automation
- Ticket classification & knowledge retrieval
- Collaborate with functional teams to translate business requirements into technical solutions.
- Develop backend services and automation scripts using Python.
- Integrate SAP systems with AI services using REST APIs and middleware.
- Build data pipelines for AI-driven insights and automation.
- Develop scalable microservices to support AI-enabled enterprise workflows.
- Design and implement LLM-powered AI agents for enterprise use cases.
- Build multi-step reasoning workflows using frameworks like:
- LangChain / LlamaIndex
- OpenAI / Azure OpenAI / Claude APIs
- Develop prompt engineering strategies for structured SAP data use cases.
- Implement Retrieval-Augmented Generation (RAG) architectures.
- Develop AI copilots / autonomous agents for:
- Incident analysis
- Business process automation
- Code generation
- Ticket triaging
- Ensure governance, monitoring, and responsible AI practices.
- Strong SAP knowledge (Functional or Technical).
- Strong ABAP and SAP BTP experience preferred.
- Strong Python programming skills.
- Experience integrating APIs (REST, OAuth, JWT).
- Hands-on experience with LLM APIs (OpenAI / Azure OpenAI / Anthropic etc.).
- Understanding of RAG, embeddings, vector databases.
- Basic knowledge of DevOps (CI/CD, Git, containerization).
- Develop enterprise-grade backend services using Java Spring Boot.
- Build RESTful APIs and microservices that connect SAP systems with AI platforms.
- Implement secure authentication mechanisms (OAuth2, JWT, SAP Identity).
- Design scalable middleware services for enterprise automation.
- Ensure high availability, logging, monitoring, and performance optimization.
- Hands-on experience in handling SQL & No-SQL Databases
- Experience in deployment of services in Hyperscalar PaaS (Cloud Foundry / Kubernetes)
- Experience designing AI-powered enterprise applications.
- Understanding of Agentic AI concepts (tools, planners, memory, orchestration).
- Knowledge of prompt engineering best practices.
- Experience with cloud platforms (Azure / AWS / GCP preferred).
- Understanding and Hands-On experience in Agent and workflow builders such as n8n
- Strong analytical and problem-solving skills.
- Ability to translate business requirements into technical AI solutions.
- Good stakeholder communication.
- Ownership mindset and innovation-driven thinking.
Key skills required:
- SAP Certification (S/4HANA / BTP / Fiori).
- Experience with SAP AI Core or SAP BTP AI services.
- Experience in building internal AI platforms or copilots.
- Exposure to enterprise security & compliance in AI systems.
- Agile / Scrum experience.
- Build AI-driven SAP automation solutions.
- Develop intelligent agents that reduce manual SAP effort.
- Deliver enterprise-grade AI solutions with governance and scalability.
- Contribute to AI-first digital transformation initiatives.
- Knowledge of Generative AI governance frameworks.
- Experience in SAP monitoring / incident automation.
- Understanding of multi-agent orchestration frameworks.
- Experience in building internal developer productivity tools.
- Educational qualifications: Any Bachelors
