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Accenture

Advises businesses and runs their technology

AI Native Software Engineer

AI Application Engineering +1Updated on Nov 9
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience is required.
  • 15 years of full-time education is required.
  • SAP ABAP Cloud expertise, including RAP, CDS, OData, and 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 in design, testing, and CI/CD.
  • Ability to translate business problems into AI-enabled SAP solutions.

Responsibilities

  • Build and ship production-ready software using AI as a core part of the engineering lifecycle, applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations.
  • Design and build ABAP Cloud applications that embed LLM-driven intelligence into SAP business processes.
  • Implement AI-enabled SAP extensions using the RESTful ABAP Programming Model (RAP), event-driven patterns, and cloud-native architectures.
  • Develop clean, testable ABAP code that integrates with AI services and enterprise APIs.
  • Implement agentic workflows, including 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 for enterprise SAP use cases.
  • Build and integrate retrieval pipelines using SAP and non-SAP data sources, including business objects, CDS views, documents, and events.
  • Implement chunking, indexing, embeddings, and context assembly to support production-grade RAG scenarios.
  • Ensure factuality, traceability, and explainability in AI-driven SAP workflows.
  • Implement offline and online evaluation frameworks 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 through telemetry, logging, and failure analysis.
  • Prototype quickly, demonstrate 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.

Desired Qualifications

  • 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, whether SAP-native or external.
  • Knowledge of enterprise security, authorization, and compliance patterns.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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