Development Principal Consultant

SAP Labs · Bengaluru · 16+ yrs experience · Posted 2026-06-18

Tech stack: JavaScript, Python, TypeScript

Apply on the company site · Get a referral for this role

SAP Labs salary & ratings · SAP Labs interview process · More live openings

About the role

SAP is seeking a highly skilled
AI Development Expert
to build and deliver enterprise-grade
Generative AI and Agentic AI applications
on
SAP Business Technology Platform (BTP)
As part of the
Customer Engagement & Adoption (CE&A) – Global Delivery Hub
, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes.
Responsibilities:
- Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures.
- Translate business and architectural requirements into production-ready AI application components and services.
- Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios.
- Implement multi-agent orchestration, tool integrations, and A2A/MCP interaction patterns.
- Develop and integrate AI services with SAP BTP, AI Core, Joule, SAP HANA, S/4HANA, and SAP integration services.
- Implement LLMOps/MLOps pipelines supporting model deployment, monitoring, and lifecycle management.
- Build reusable AI components, services, and accelerators to support rapid solution delivery.
- Optimize AI applications for scalability, performance, reliability, and cost efficiency.
- Ensure Responsible AI principles, data privacy, security, and compliance requirements are implemented in delivered solutions.
- Collaborate closely with architects, product teams, and cross-functional engineering teams to deliver customer AI adoption programs.
- Support troubleshooting, performance tuning, and continuous improvement of deployed AI solutions.
- Continuously evaluate emerging tools and frameworks to improve development productivity and solution quality.
- Required Skills & Experience
- 8–16 years of experience in AI/ML or enterprise software deveopment with hands-on solution delivery experience.
- Strong experience building Generative AI applications, including RAG pipelines, agent workflows, and prompt engineering.
- Experience implementing agentic workflows, tool integration, and multi-agent collaboration patterns.
- Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
- Experience designing and implementing Business AI solutions.
- Strong foundation in software engineering, distributed systems, and scalable application development.
- Experience developing cloud-native applications and services.
- Strong proficiency in Python; working knowledge of JavaScript/TypeScript is advantageous.
- Experience working with vector databases, semantic retrieval, and knowledge graph integrations.
- Experience implementing model deployment, monitoring, and lifecycle workflows using MLOps/LLMOps practices.
- Experience working with SAP BTP or hyperscaler cloud platforms is beneficial.
- Familiarity with SAP S/4HANA, HANA DB, and SAP AI offerings is advantageous.
- Ability to collaborate effectively in customer-facing and cross-functional delivery environments.
- Strong problem-solving mindset and commitment to delivering production-quality solutions.
- Strong learning orientation and ability to rapidly adopt emerging AI development technologies.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related discipline.
- #SAPInternalT4PF #SAPInternalT3
- #SAPReturnshipIndiaCareers
Qualifications:
- into robust, high-performing AI applications for enterprise deployment.

Qualifications

- into robust, high-performing AI applications for enterprise deployment.

Responsibilities

- Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures.
- Translate business and architectural requirements into production-ready AI application components and services.
- Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios.
- Implement multi-agent orchestration, tool integrations, and A2A/MCP interaction patterns.
- Develop and integrate AI services with SAP BTP, AI Core, Joule, SAP HANA, S/4HANA, and SAP integration services.
- Implement LLMOps/MLOps pipelines supporting model deployment, monitoring, and lifecycle management.
- Build reusable AI components, services, and accelerators to support rapid solution delivery.
- Optimize AI applications for scalability, performance, reliability, and cost efficiency.
- Ensure Responsible AI principles, data privacy, security, and compliance requirements are implemented in delivered solutions.
- Collaborate closely with architects, product teams, and cross-functional engineering teams to deliver customer AI adoption programs.
- Support troubleshooting, performance tuning, and continuous improvement of deployed AI solutions.
- Continuously evaluate emerging tools and frameworks to improve development productivity and solution quality.
- Required Skills & Experience
- 8–16 years of experience in AI/ML or enterprise software deveopment with hands-on solution delivery experience.
- Strong experience building Generative AI applications, including RAG pipelines, agent workflows, and prompt engineering.
- Experience implementing agentic workflows, tool integration, and multi-agent collaboration patterns.
- Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
- Experience designing and implementing Business AI solutions.
- Strong foundation in software engineering, distributed systems, and scalable application development.
- Experience developing cloud-native applications and services.
- Strong proficiency in Python; working knowledge of JavaScript/TypeScript is advantageous.
- Experience working with vector databases, semantic retrieval, and knowledge graph integrations.
- Experience implementing model deployment, monitoring, and lifecycle workflows using MLOps/LLMOps practices.
- Experience working with SAP BTP or hyperscaler cloud platforms is beneficial.
- Familiarity with SAP S/4HANA, HANA DB, and SAP AI offerings is advantageous.
- Ability to collaborate effectively in customer-facing and cross-functional delivery environments.
- Strong problem-solving mindset and commitment to delivering production-quality solutions.
- Strong learning orientation and ability to rapidly adopt emerging AI development technologies.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related discipline.

More openings at SAP Labs