Senior Custom Software Engineer - SAP ABAP Cloud

Accenture India Private Limited; Ahmedabad District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Accenture India Private Limited in Ahmedabad is seeking a Custom Software Engineer for a Project Role to design, develop, and scale SAP ABAP Cloud based solutions, embedding LLM driven intelligence into business processes.

You will implement RAP, RESTful ABAP, retrieval pipelines, and ensure security, observability, and compliance while collaborating with enterprise teams within a dynamic, client-driven environment.

Qualifications

• 12+ years of experience required.
• 15 years of full time education required.
• Must have SAP ABAP Cloud experience.
• Experience integrating AI/LLM with SAP applications.

Responsibilities

• Design and build ABAP Cloud applications embedding LLM driven intelligence.
• Implement AI-enabled SAP extensions using RAP, event-driven patterns, and cloud-native architectures.
• Develop clean ABAP code that integrates with AI services and enterprise APIs.
• Prototype quickly and scale AI SAP production systems with performance, security, and compliance in mind.
• Ensure observability, logging, and failover handling for AI-enabled SAP workflows.

Skills

SAP ABAP Cloud

LLM integration

RAG pipelines

CI/CD

AI enabled SAP

Education

15 years full time education

Tools

SAP BTP

APIs

Vector databases

Job description

Custom Software Engineer 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 ABAP Cloud

Good to have skills: NA

Minimum 12 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary AI Powered Tech Talent. Build AI native, cloud ready SAP solutions on ABAP Cloud by combining deep ABAP and SAP platform expertise with agentic AI architectures, LLM tooling, and rapid experimentation.

The role focuses on designing, implementing, and scaling intelligent SAP applications that integrate ABAP Cloud with LLMs, retrieval pipelines, APIs, and enterprise systems—moving from automation to autonomy. This role actively builds AI systems, not just consumes AI tools.

Core Responsibilities

• AI Native SAP Application Build Design and build ABAP Cloud applications that embed LLM driven intelligence into SAP business processes.
• Implement AI enabled SAP extensions using RESTful ABAP Programming Model (RAP), event driven patterns, and cloud native architectures.
• Develop clean, testable ABAP code that integrates seamlessly with AI services and enterprise APIs.

Agentic & LLM Integration

• Implement agentic workflows: tools, planners, memory, orchestration, and evaluation loops integrated with SAP processes.
• Integrate LLMs, embeddings, and retrieval pipelines (RAG) with ABAP Cloud services for contextual, grounded responses.
• Design prompt templates, grounding strategies, fallback logic, and safety boundaries suitable for enterprise SAP use cases.

Data, Retrieval & Context

• Build and integrate retrieval pipelines using SAP and non SAP data sources (business objects, CDS views, documents, events).
• Implement chunking, indexing, embeddings, and context assembly to support production grade RAG scenarios.
• Ensure factuality, traceability, and explainability in AI driven SAP workflows.

Quality, Safety & Reliability

• Implement evaluation frameworks (offline and online) for AI behaviors integrated with SAP processes.
• Design guardrails for authorization, data privacy, action boundaries, and error handling.
• Build observability into AI enabled SAP applications (telemetry, logging, failure analysis).

Rapid Experimentation & Scale Out

• Prototype quickly, demo frequently, and iterate based on business feedback.
• Move AI prototypes into enterprise grade SAP production systems with performance, security, and compliance in mind.
• Continuously refine AI behavior, prompts, and orchestration strategies.

Primary Skills (AI Native Must Have)

• SAP ABAP Cloud (RAP, CDS, OData, clean core principles)
• Hands on experience integrating LLMs and AI services into applications.
• Experience building RAG pipelines, embeddings, and contextual retrieval.
• Strong software engineering fundamentals (design, testing, CI/CD).
• Ability to translate business problems into AI enabled SAP solutions.

Secondary / Strongly Beneficial Skills

• Experience with SAP BTP, eventing, APIs, and cloud services.
• Familiarity with agent frameworks or custom orchestration logic.
• Exposure to vector databases, search, or semantic indexing (SAP native or external).
• Knowledge of enterprise security, authorization, and compliance patterns.

Value Delivered

Intelligent SAP applications that reason, retrieve, and act, not just automate.

Faster innovation cycles by embedding AI directly into SAP business logic.

Scalable, secure AI powered SAP extensions aligned with clean core principles.

Foundation for autonomous, AI driven enterprise workflows.

Additional Information

A 15 years full time education is required.