SAP Joule Technical AI Architect/Developer :: Onsite :: W2 profiles

Trebecon LLC; Dallas (TX); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Trebecon LLC is seeking a hands-on SAP Joule Technical AI Architect/Developer to design and implement AI-driven solutions within the SAP ecosystem. The role combines SAP Joule expertise with Generative AI, LLMs, and SAP BTP integration to deliver enterprise-grade AI capabilities.

The candidate will design AI workflows, build SAP integrations using REST APIs, OData, and SAP APIs, and develop SAP applications with ABAP, CDS, AMDP, and RAP.

Qualifications

• Hands-on experience with SAP Joule.
• Proficient in Joule Studio 2.0 and Joule Skills.
• Experience building SAP AI/GenAI solutions on SAP BTP.
• Strong ABAP, CDS, AMDP, RAP development skills.
• Familiarity with SAP APIs, OData, REST APIs.
• Knowledge of LangChain and LangGraph for AI workflows.
• Understanding of enterprise SAP business processes across functions.

Responsabilités

• Design and develop AI-driven SAP Joule solutions and agents.
• Integrate AI capabilities on SAP BTP with MCP Server concepts.
• Develop SAP integrations using REST APIs, OData, and SAP APIs.
• Build enterprise SAP apps using ABAP, CDS, AMDP, and RAP.
• Translate enterprise requirements into AI-enabled SAP solutions.
• Lead GenAI and LLM orchestration for SAP workloads.
• Implement AI workflows using LangChain and LangGraph.

Connaissances

SAP Joule

Joule Studio 2.0

Joule Skills

Joule Agents

SAP BTP

HANA / ABAP

CDS / AMDP / RAP

SAP APIs / OData

REST API development

Event-driven architecture

Generative AI / LLM

Prompt engineering

LangChain / LangGraph

SAP business processes

LangChain

LangGraph

HANA Cloud Vector Engine

Outils

LangChain

LangGraph

HANA Cloud Vector Engine

Description du poste

Role: SAP Joule Technical AI Architect / Developer - Technical FDE

Location: Houston, TX / Dallas, TX

Work Mode: Onsite

Role Overview

We are seeking a hands-on SAP Joule Technical AI Architect / Developer to design and develop AI-driven solutions within the SAP ecosystem. The ideal candidate will combine strong SAP development expertise with practical experience in Generative AI, LLMs, AI agents, and SAP BTP.

This role will focus on building enterprise-grade AI solutions using SAP Joule and integrating SAP business processes, APIs, data, and modern AI technologies.

Key Responsibilities

• Design and develop enterprise AI solutions using SAP Joule, Joule Studio 2.0, Joule Skills, and Joule Agents.
• Build and integrate AI capabilities on SAP BTP and work with MCP Server concepts and architectures.
• Develop SAP integrations using REST APIs, OData services, SAP APIs, and event-driven architectures.
• Develop and enhance SAP applications using ABAP, CDS Views, AMDP, and RAP.
• Understand SAP business processes across Finance, Supply Chain, Procurement, HR, and other enterprise functions.
• Design and implement GenAI applications using LLMs, prompt engineering, and LLM orchestration frameworks.
• Build AI workflows and agent-based solutions using LangChain and LangGraph.
• Integrate SAP data and enterprise knowledge into AI applications while maintaining security, scalability, and reliability.
• Collaborate with functional, technical, and business teams to convert enterprise requirements into AI-enabled SAP solutions.

Required Technical Skills

• Hands-on experience with SAP Joule
• Joule Studio 2.0
• Joule Skills and Joule Agents
• Strong SAP BTP experience
• Understanding of MCP Server concepts
• Strong HANA / ABAP development experience
• CDS, AMDP, and RAP
• SAP APIs and OData
• REST API development and integration
• Event-driven architecture and integration patterns
• Experience with Generative AI / LLM applications
• Prompt engineering
• LangChain and/or LangGraph
• Strong understanding of SAP business processes

Preferred / Nice-to-Have Skills

• RAG (Retrieval-Augmented Generation)
• Document ingestion, chunking, embeddings, and semantic search
• Context management for enterprise AI applications
• Vector databases such as SAP HANA Cloud Vector Engine, Pinecone, or Weaviate
• AI agents, multi-agent architectures, and agent orchestration
• AI-powered workflow automation
• Knowledge Graphs and semantic modeling
• Graph databases and entity relationship modeling