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AI Agentic Engineer (FDE SAP Cloud & AI Solutions) - Looking for W2 Candidates - PST candidates preferred

Remote, USA Full-time Posted 2026-06-14

Role: AI Agentic Engineer (FDE SAP Cloud & AI Solutions) AI Agentic Engineer (5 10 yrs) embedded with clients as a Forward Deployed Engineer (FDE), designing and delivering AI-first, cloud-native applications within the SAP ecosystem. Combines strong software engineering with applied AI (LLMs, agentic workflows) to build scalable, production-grade solutions on SAP BTP.

Key Responsibilities

  • Partner with customers to identify use cases and translate them into AI-driven solutions
  • Design and deliver end-to-end cloud-native applications on SAP BTP
  • Build LLM-powered and agentic capabilities (RAG, hybrid retrieval, orchestration workflows)
  • Integrate enterprise data and ML services into applications (SAP HANA, APIs, external systems)
  • Develop and maintain scalable, multi-tenant architectures
  • Ensure engineering excellence across security, performance, observability, and CI/CD
  • Collaborate cross-functionally with product, UX, data, and architecture teams

Required Qualifications

  • 5 10 years in software engineering (cloud / enterprise / SaaS)
  • Proven experience delivering multi-tenant, cloud-native applications
  • Strong coding skills (e.g., Python, Java, TypeScript)
  • Hands-on experience with SAP BTP and SAP HANA
  • Experience building AI/LLM-enabled applications(RAG, APIs, integrations)
  • Familiarity with agentic architectures / orchestration frameworks
  • Experience with data platforms / pipelines (e.g., Databricks or similar)
  • Strong understanding of APIs, microservices, and distributed systems
  • Experience with CI/CD and DevOps practices

Nice to Have

  • SAP S/4HANA or enterprise SAP application experience
  • Vector databases / embeddings (e.g., Pinecone, Weaviate)
  • Cloud platforms (AWS, Azure, Google Cloud Platform)
  • MLOps / model lifecycle management
  • Client-facing or consulting experience

What Sets This Role Apart

  • Direct customer engagement with end-to-end ownership
  • Focus on agentic AI systems, not just traditional ML
  • Opportunity to build production-grade AI solutions in enterprise SAP environments
  • High-impact role at the intersection of AI, engineering, and business transformation

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