Analyst | Python | Bengaluru | SAP | DSA Consumer & TMT

Analyst Python Bengaluru SAP DSA Consumer & TMT

REQ ID: 108467

Location: Chennai / Bangalore / Delhi/ Mumbai

Employment Type: Full-Time

Role Overview

We are looking for a high-performing Consultant SAP & Agentic AI Solutions who can combine deep SAP knowledge with modern AI engineering capabilities to deliver intelligent autonomous enterprise solutions.

This role sits at the intersection of:

• Enterprise SAP transformation
• Python-based engineering
• Enterprise Java (Java Springboot Angular React )
• 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 ofDesigning and implementing AI-powered SAP automation solutionsBuild LLM-driven copilots and autonomous agents for enterprise workflowsReduce operational costs through intelligent orchestrationDrive innovation in SAP Operate and digital transformation engagements.

Key Responsibilities

SAP Consulting & Development:

• 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.

Python & AI Engineering:

• 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.

Agentic AI & LLM-Based Product Development:

• 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.

Technical Skills:

• 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).

Enterprise Java & Backend-Frontend-DB Engineering skills:

• 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)

AI & Architecture Skills:

• 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.

Soft Skills:

• Strong analytical and problem-solving skills.
• Ability to translate business requirements into technical AI solutions.
• Good stakeholder communication.
• Ownership mindset and innovation-driven thinking.

Preferred Qualifications:

• 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.

What Success Looks Like in This Role:

• 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.

Nice-to-Have Experience:

• 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.