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AI Tech Lead (SAP GenAI)

  • Source: LinkedIn
  • Pinnacle99 INC
  • Remote
  • United States
  • Senior

Job Description

Job Title: AI Tech Lead (SAP GenAI)

Location: 100% remote

Duration: 12 months initial expectation + extensions

AI Tech Lead (SAP GenAI) – Sentinel

CODE

40% Python AI (SAP GenAI SDK) - RAG/Agentic AI (2 repos-sentinal backend framework, Sentinel BOT framework based on Microsoft Agents 365 SDK)

CONFIG

20% BTP (BPA/Cloud ALM/Kyma/Cloud Foundry)

20% Azure/Bot Dev Portal

20% ABAP

Less complex, more components.

Role Summary

The Sentinel initiative supports an inbound AI‑driven message platform built on Python, SAP GenAI SDK, and Microsoft Agents 365 SDK. This role is hands‑on and senior‑level (Tech Lead → Architect), focused on enhancing and supporting production‑bound agentic AI services that detect master data errors in Retail S/4 and notify users via Teams. Sentinel is less complex than PIR but touches more components across SAP BTP, Azure, and ABAP. Strong Python AI and RAG experience are mandatory; SAP GenAI SDK is a major plus.

Key Responsibilities

  • Python AI Engineering — Build, refine, and support Python‑based AI services using SAP GenAI SDK, RAG pipelines, and agentic workflows.
  • Agentic AI Development — Work across two repositories: Sentinel backend framework and Sentinel Bot framework using Microsoft Agents 365 SDK.
  • SAP BTP Configuration — Support BPA, Cloud ALM, Kyma, and Cloud Foundry components tied to the Sentinel platform.
  • Azure Bot Integration — Maintain and enhance Teams‑based notification flows and bot interactions.
  • Light ABAP Collaboration — Partner with ABAP developers; minimal hands‑on ABAP required.
  • Support production rollout planned for next spring, ensuring reliability, observability, and scalability.

Required Qualifications

  • Strong hands‑on Python engineering with AI/ML experience.
  • Proven experience with RAG, vector retrieval, and agentic AI orchestration.
  • Experience with at least one agent framework (Agents SDK, LangChain, LangGraph, Semantic Kernel, etc.).
  • Ability to operate at Tech Lead → Architect level while remaining hands‑on.
  • Familiarity with SAP BTP components (Kyma, Cloud Foundry, Cloud ALM).
  • Experience integrating AI workflows into Azure/Teams environments.

Preferred Qualifications

  • Experience with SAP GenAI SDK (highly preferred).
  • Experience supporting production AI systems.
  • Retail S/4 or master data domain knowledge.

Skills

  • sap
  • Python
  • sap-cloud-alm
  • cloud-foundry
  • microsoft-azure
  • microsoft-teams
  • azure-arc
  • LangChain
  • LangGraph
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