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AI Agentic Engineer (FDE – SAP Cloud & AI Solutions)

Remote • Posted 1 hour ago • Updated 1 hour ago

Contract Independent

Contract W2

6 Months

No Travel Required

Remote

Depends on Experience

Fitment

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Job Details

Skills

SAP BTP
AI / LLM / Agentic AI
Cloud-Native & Multi-Tenant Architecture
DevOps / CI-CD / MLOps

Summary

Position: AI Agentic Engineer (FDE – SAP Cloud & AI Solutions)

Location: Remote

AI Agentic Engineer 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: 8982642
Posted 1 hour ago

Contact the job poster

Sathish Kumar

Recruiter @ Emergere Technologies

View Profile

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