A leading technology company in the United States seeks a Talent Acquisition Specialist for a contract role focused on Architecting Generative AI solutions. The ideal candidate will integrate AI systems with SAP S/4HANA and design cloud architectures to operationalize enterprise workloads. Responsibilities include building automation for SAP processes and ensuring compliance with standards. The position requires strong skills in machine learning, data pipelines, and multi-agent orchestration.
Qualifications
Experience in architecting end-to-end Generative AI solutions.
Proficient in integrating GenAI systems with SAP S/4HANA.
Understanding of hybrid cloud architectures using major cloud providers.
Skill in building intelligent automation for SAP processes.
Expertise in developing data pipelines connecting SAP HANA with cloud ecosystems.
Responsibilities
Architect end-to-end Generative AI solutions utilizing LLMs.
Integrate systems with SAP and develop automation for processes.
Design cloud architectures to support enterprise AI workloads.
Skills
Generative AI solutions
SAP S/4HANA integration
Hybrid cloud architectures
Intelligent automation
Data pipelines
LLMOps practices
Multi-agent orchestration
Compliance standards
AI architecture design
Innovation through prototypes
Job description
Technical Recruitment | Talent Acquisition Specialist | Strategic Hiring | Vendor Management | End to End Recruitment
Architect end-to-end Generative AI solutions using LLMs, RAG, agent frameworks, and tool/function calling.
Integrate GenAI systems with SAP S/4HANA using HANA views, CDS views, OData services, and IDoc frameworks.
Design hybrid cloud architectures leveraging Azure, AWS, or GCP to operationalize enterprise-grade AI workloads.
Build intelligent automation for SAP processes (IDoc reconciliation, batch logic, vendor certificate extraction, ATTP, supply chain flows).
Develop high-performance data pipelines connecting SAP HANA to cloud AI ecosystems and vector databases.
Implement robust LLMOps practices including prompt versioning, evaluations, monitoring, and rollback strategies.
Lead multi-agent orchestration using LangChain, LangGraph, Semantic Kernel, and AI workflow engines.
Ensure compliance with GxP, GDPR, DSCSA, and SAP governance/security standards for responsible AI deployment.
Translate business needs into scalable AI architectures with measurable ROI and executive-ready narratives.
Drive innovation through prototypes, accelerators, reusable patterns, and GenAI architecture blueprints.