Build and scale AI-native SAP applications using SAP ABAP Cloud, RAP, CDS, OData, LLMs, retrieval pipelines, embeddings, and agentic workflows. Responsibilities include integrating AI services with SAP business processes, designing RAG architectures, implementing guardrails and evaluation frameworks, and delivering secure, observable, production-ready enterprise solutions. The role also involves rapid prototyping, prompt and orchestration refinement, API and event integration, and translating business needs into intelligent SAP applications.
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 15 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.15 years full time education
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 15 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.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
