SAP BTP With Python AI

Position : SAP BTP With Python AI

Location : Austin, Tx

W2 Only

Job Description :-

• Design, govern, and scale SAP BTP-based enterprise solutions, while embedding GenAI into workflows, operations, and user experiences

• The role requires platform architecture, cloud-native design, integration, security, and GenAI-driven automation

• Hands-on experience with SAP BTP architecture and ability to embed GenAI and agentic AI capabilities into SAP-centric enterprise landscape

• Skills: SAP BTP & Cloud

• 8-10+ years of experience in SAP or enterprise cloud architecture

• Strong hands-on experience with SAP BTP services

• Solid understanding of cloud-native and microservices architecture

• Experience with SAP security and identity concepts

• GenAI & AI Architecture

• Practical experience designing or implementing GenAI solutions

• Strong understanding of:

• LLMs and prompt engineering

• RAG architectures

• AI orchestration / agent-based patterns

• Experience integrating LLMs with enterprise systems and APIs

• DevSecOps & Engineering

• Experience with CI/CD, automation, and cloud operations

• Familiarity with Kubernetes, APIs, and event-driven architectures

• Understanding of observability and reliability for production systems

• Good to Have

• Experience with SAP AI Core / AI Launchpad / GenAI Hub

• Exposure to frameworks like LangChain, LangGraph, CrewAI

• Responsibilities

SAP BTP & Cloud

• Design and own end-to-end SAP BTP architectures across:
• Cloud Foundry and/or Kyma runtimes
• SAP Integration Suite (CPI, API Management, Event Mesh)
• SAP HANA Cloud, Datasphere
• Identity & Access Management (IAS, XSUAA, IDP trust)
• Define account, subaccount, runtime, and security models aligned with enterprise standards
• Establish reference architectures, design patterns, and best practices for BTP implementations
• GenAI & AI Architecture
• Design and implement GenAI-enabled use cases on BTP, such as:
• AI copilots for SAP users
• Incident, alert, and change summarization
• Automated root cause analysis and remediation recommendations
• Knowledge bots for runbooks, KT documents, and SAP operations
• Architect RAG (Retrieval-Augmented Generation) pipelines using:
• SAP HANA Cloud / vector stores
• Secure enterprise data sources
• Integrate BTP with enterprise LLM platforms (Azure OpenAI, OpenAI, Gemini, etc.)
• Evaluate and apply agentic AI patterns
• DevSecOps & Engineering
• Define CI/CD pipelines for BTP applications and AI workflows
• Ensure production readiness of GenAI solution
• Work closely with SRE / Ops teams to operationalize AI solutions at scale

Regards, Anil Kumar US IT Recruiter Contact Details: 609-755-5388 Email: - [email protected] 4365 Route 1 South, Suite 105 Princeton, NJ 08540 www.applabsystems.com