Development Principal Consultant

SAP; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

SAP is looking for an AI Development Expert in Bengaluru to develop and implement scalable Generative AI applications. You will work on the SAP Business Technology Platform and collaborate with various teams to drive AI adoption.

The role requires extensive experience in AI/ML development and a strong foundation in software engineering, along with cloud-native application development skills. Candidates should possess a Bachelor's or Master's degree in a related field.

Qualifications

• 8–16 years of experience in AI/ML or enterprise software development.
• Strong experience in building Generative AI applications.
• Proficiency in Python; knowledge of JavaScript/TypeScript is advantageous.

Responsibilities

• Develop and implement scalable Generative AI applications.
• Build and optimize RAG pipelines and hybrid AI solutions.
• Collaborate with product teams to deliver AI adoption programs.

Skills

Generative AI applications

RAG pipelines

Agent workflows

Python

Distributed systems

Cloud-native applications

Education

Bachelor’s or Master’s degree in Computer Science

Tools

LangChain

MLOps

SAP BTP

Job description

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.

This role focuses on hands‑on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment.

Key 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 development 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.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.