Build, deploy, and operate full-stack cloud applications on SAP BTP. Develop Node.js backend services, APIs, data models, SAPUI5 interfaces, and SAP HANA persistence solutions. Configure BTP subaccounts, services, roles, connectivity, and MTA deployments. Integrate agentic AI capabilities including LLMs, tool calling, retrieval-grounded experiences, memory, evaluation, monitoring, and safety controls. Collaborate through Git-based workflows and Agile/Scrum practices while debugging and productionizing applications.
Project Role : Custom Software Engineer
Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements.
Must have skills : SAP BTP Application Development
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent. Build AI native enterprise applications on SAP Business Technology Platform (SAP BTP) by combining strong platform engineering (admin + solution design + full stack build) with agentic AI application patterns (LLMs + tools + retrieval + evaluation). This role is about building, deploying, and operating cloud applications on SAP BTP, and evolving them into intelligent systems through rapid prototyping and production hardening.
Core Responsibilities
1) Cloud Application Engineering on SAP BTP
Build, deploy, and manage applications in a cloud-based environment on SAP BTP, covering platform fundamentals, administration touchpoints, solution design, and both frontend and backend development.
2) Full Stack Delivery (Frontend + Backend) with SAP BTP Patterns
Develop backend services and APIs (including CRUD + business logic + validations) using Node.js-based service patterns, and expose services for frontend consumption.
Build responsive UI components using SAPUI5 (XML views, controllers, MVC approach) and integrate with backend APIs for data display and write-back flows.
3) Data Modeling & Persistence Foundations
Design database artifacts and data models (tables/views/entities/relationships) and connect applications to SAP HANA-based persistence patterns used in BTP app development scenarios.
4) Platform Setup & Deployment Engineering
Configure subaccounts/service instances/roles and set up development spaces configure connectivity artifacts (e.g., destinations) for integrating external APIs and databases as part of application delivery.
Package and deploy applications using multi-target application (MTA) style deployment artifacts where applicable.
5) AI Native Application Patterns (Agentic + LLM Integrated) (Build expectation)
Implement LLM-integrated features as part of BTP applications (e.g., assistant in the workflow ), including: tool calling, orchestration, memory/state handling, and safe action boundaries.
Build retrieval-grounded experiences (RAG-style) over enterprise content and APIs where the solution requires grounded responses, with clear fallback behaviors.
Create evaluation loops (offline test sets + online monitoring) so AI behavior changes are measurable and regressions are caught early.
6) Engineering Excellence (Quality, DevOps, Collaboration)
Use Git-based workflows for source control and collaboration, and operate in Agile/Scrum delivery models.
Debug and resolve backend/database/service exposure issues encountered during full-stack delivery.
Primary Skills (AI Native Must Have)
SAP BTP application development fundamentals spanning platform architecture, administration basics, solution design, and frontend/backend build.
Hands-on full-stack implementation patterns evidenced by: backend services + APIs + data models + UI integration.
Strong software engineering fundamentals (clean code, testing mindset, CI/CD orientation) and ability to move from prototype to production (AI native expectation).
Secondary / Strongly Beneficial Skills
Practical exposure to common BTP app-dev tooling and patterns used in delivery environments (e.g., SAP Business Application Studio usage in full-stack build contexts).
Familiarity with structured learning paths such as BTP Application Development (training listing) and bootcamp-style enablement.
Awareness of platform building blocks and guidelines referenced in community materials like SAP BTP Developer s Guide .
What This Role Does Not Center On
Not limited to AI-assisted development only this role owns AI behavior in the product (orchestration, grounding, evaluation, safety boundaries) as part of delivery (AI native expectation).
Not focused on training foundation models from scratch emphasis is on building agentic applications integrated with enterprise services.
Value Delivered
Rapid delivery of cloud applications on SAP BTP with full-stack rigor (platform + backend + UI + deployment).
Higher-impact solutions by embedding agentic AI capabilities into business workflows while maintaining engineering discipline and operational reliability (AI native expectation).
Additional Information
A 15 years full time education is required15 years full time education
Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements.
Must have skills : SAP BTP Application Development
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent. Build AI native enterprise applications on SAP Business Technology Platform (SAP BTP) by combining strong platform engineering (admin + solution design + full stack build) with agentic AI application patterns (LLMs + tools + retrieval + evaluation). This role is about building, deploying, and operating cloud applications on SAP BTP, and evolving them into intelligent systems through rapid prototyping and production hardening.
Core Responsibilities
1) Cloud Application Engineering on SAP BTP
Build, deploy, and manage applications in a cloud-based environment on SAP BTP, covering platform fundamentals, administration touchpoints, solution design, and both frontend and backend development.
2) Full Stack Delivery (Frontend + Backend) with SAP BTP Patterns
Develop backend services and APIs (including CRUD + business logic + validations) using Node.js-based service patterns, and expose services for frontend consumption.
Build responsive UI components using SAPUI5 (XML views, controllers, MVC approach) and integrate with backend APIs for data display and write-back flows.
3) Data Modeling & Persistence Foundations
Design database artifacts and data models (tables/views/entities/relationships) and connect applications to SAP HANA-based persistence patterns used in BTP app development scenarios.
4) Platform Setup & Deployment Engineering
Configure subaccounts/service instances/roles and set up development spaces configure connectivity artifacts (e.g., destinations) for integrating external APIs and databases as part of application delivery.
Package and deploy applications using multi-target application (MTA) style deployment artifacts where applicable.
5) AI Native Application Patterns (Agentic + LLM Integrated) (Build expectation)
Implement LLM-integrated features as part of BTP applications (e.g., assistant in the workflow ), including: tool calling, orchestration, memory/state handling, and safe action boundaries.
Build retrieval-grounded experiences (RAG-style) over enterprise content and APIs where the solution requires grounded responses, with clear fallback behaviors.
Create evaluation loops (offline test sets + online monitoring) so AI behavior changes are measurable and regressions are caught early.
6) Engineering Excellence (Quality, DevOps, Collaboration)
Use Git-based workflows for source control and collaboration, and operate in Agile/Scrum delivery models.
Debug and resolve backend/database/service exposure issues encountered during full-stack delivery.
Primary Skills (AI Native Must Have)
SAP BTP application development fundamentals spanning platform architecture, administration basics, solution design, and frontend/backend build.
Hands-on full-stack implementation patterns evidenced by: backend services + APIs + data models + UI integration.
Strong software engineering fundamentals (clean code, testing mindset, CI/CD orientation) and ability to move from prototype to production (AI native expectation).
Secondary / Strongly Beneficial Skills
Practical exposure to common BTP app-dev tooling and patterns used in delivery environments (e.g., SAP Business Application Studio usage in full-stack build contexts).
Familiarity with structured learning paths such as BTP Application Development (training listing) and bootcamp-style enablement.
Awareness of platform building blocks and guidelines referenced in community materials like SAP BTP Developer s Guide .
What This Role Does Not Center On
Not limited to AI-assisted development only this role owns AI behavior in the product (orchestration, grounding, evaluation, safety boundaries) as part of delivery (AI native expectation).
Not focused on training foundation models from scratch emphasis is on building agentic applications integrated with enterprise services.
Value Delivered
Rapid delivery of cloud applications on SAP BTP with full-stack rigor (platform + backend + UI + deployment).
Higher-impact solutions by embedding agentic AI capabilities into business workflows while maintaining engineering discipline and operational reliability (AI native expectation).
Additional Information
A 15 years full time education is required15 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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