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

Remote • Posted 4 days ago • Updated 4 days ago
Contract W2
12 Months
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • "Agentic AI" and "SAP Cloud"

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099596
  • Position Id: 8994386
  • Posted 4 days ago
Contact the job poster
Tamil Selvan

Tamil Selvan

Lead Technical Recruiter @ Emergere Technologies
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