What are the responsibilities and job description for the SAP BTP Architect – GenAI & Python position at Source Code Technologies LLC?
Job Details
Job Title
SAP BTP Architect – GenAI & Python
Location
Austin, TX
Experience
10–12 Years
Job Description
We are seeking a highly experienced SAP BTP Architect with strong Python and Generative AI expertise to design, govern, and scale enterprise solutions on SAP Business Technology Platform (BTP). This role will focus on embedding GenAI and agentic AI capabilities into SAP-centric enterprise landscapes, enabling intelligent automation, AI copilots, and next-generation operational workflows.
The ideal candidate brings deep SAP BTP architecture experience combined with hands-on GenAI solution design, cloud-native engineering, and DevSecOps practices.
Key Responsibilities
SAP BTP & Cloud Architecture
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 and Datasphere
Define BTP account, subaccount, runtime, and security models aligned with enterprise standards
Implement SAP Identity & Access Management (IAS, XSUAA, IDP trust)
Establish reference architectures, design patterns, and best practices for scalable BTP implementations
GenAI & AI Architecture
Design and implement GenAI-enabled use cases, including:
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 and implement RAG (Retrieval-Augmented Generation) pipelines using:
SAP HANA Cloud and vector databases
Secure enterprise data sources
Integrate SAP BTP with enterprise LLM platforms (Azure OpenAI, OpenAI, Gemini, etc.)
Evaluate and apply agentic AI patterns for orchestration and automation
DevSecOps & Engineering
Define and implement CI/CD pipelines for BTP applications and AI workflows
Ensure production readiness, scalability, security, and observability of GenAI solutions
Collaborate with SRE and Operations teams to operationalize AI solutions at enterprise scale
Required Skills
SAP BTP & Cloud
8–10 years of experience in SAP or enterprise cloud architecture
Strong hands-on experience with SAP BTP services
Deep understanding of cloud-native and microservices architecture
Strong knowledge of SAP security and identity concepts
GenAI & AI
Hands-on experience designing or implementing GenAI solutions
Strong understanding of:
Large Language Models (LLMs)
Prompt engineering
RAG architectures
AI orchestration and agent-based patterns
Experience integrating LLMs with enterprise systems and APIs
Strong Python development experience
DevSecOps
Experience with CI/CD, automation, and cloud operations
Familiarity with Kubernetes, APIs, and event-driven architectures
Understanding of observability, monitoring, and reliability for production systems
Nice to Have
Experience with SAP AI Core, AI Launchpad, or SAP GenAI Hub
Exposure to GenAI frameworks such as LangChain, LangGraph, or CrewAI