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Job Details

Skills

SAP Generative AI
SAP AI Architect
SAP AI Core
Generative AI Hub
Orchestration
RAG
HANA
Responsible AI
SAP AI SDK
SAP BTP
LLM
AI governance
SAP HANA
SAP AI Launchpad
LangGraph
AG2 (AutoGen)
CrewAI
Smolagents
Cloud Foundry
Kyma
Kubernetes
invoices
purchase orders
delivery notes
SAP Document AI

Summary

SAP AI Architect

Location : Remote US / with some Travel

Duration:- 6 -12 Months+

SAP AI Architect with around 15+ years of overall experience, have 10+ years of experience BTP Architecting & development and with minimum 2+ years of experience in SAP AI design and development , with minimum 1 project experience

The SAP AI Architect is responsible for designing, governing, and delivering enterprise-grade AI architectures on the SAP platform. This role sits at the intersection of business strategy, data management, and AI technology — translating SAP''s integrated vision of applications, data, and AI into scalable, responsible architectures. The SAP AI Architect plays a critical role in aligning SAP RISE, SAP BTP, SAP Business AI and Joule Agents to enable business innovate & realize value of SAP ecosystem.

Key Responsibilities

AI Architecture Design: Design and govern end-to-end AI architectures across SAP''s application, data, and AI layers — spanning Joule & Joule Agents, Embedded AI capabilities, and AI Foundation on SAP BTP.
Enterprise AI Strategy: Align AI initiatives with enterprise business objectives, ensuring AI is embedded into end-to-end journeys such as SAP Procure-to-Pay, Order-to-Cash, Hire-to-Retire, and Design-to-Operate.
AI Foundation Implementation: Architect and oversee the deployment of SAP AI Foundation components including SAP AI Core, SAP AI Launchpad, Generative AI Hub, SAP Document AI, SAP Knowledge Graph, and Joule Studio.
Data & Knowledge Layer Design: Design data consolidation strategies using SAP Datasphere and SAP HANA Cloud — including the Vector Engine for RAG (Retrieval-Augmented Generation) patterns and the Knowledge Graph Engine for semantic business reasoning.
Pro-Code Agent Development Oversight: Guide development teams in building pro-code agents on SAP BTP using SAP Cloud SDK for AI and SAP Cloud Application Programming Model (CAP), integrating with Generative AI Hub and enterprise services.
Security, Compliance & Governance: Ensure AI solutions adhere to SAP''s "Relevant, Reliable, and Responsible" AI principles, including data privacy, data protection, cybersecurity, and ethical AI frameworks.
Integration Architecture: Define connectivity and integration patterns using SAP Connectivity Service, SAP Destination Service, and OData/REST APIs to connect AI agents with SAP S/4HANA. Experience in other SAP Cloud products like Ariba is good to have.
Stakeholder Enablement: Collaborate with business stakeholders, solution architects, and development teams to translate AI use cases into actionable architectural blueprints and implementation roadmaps.

Required Skills

SAP BTP Expertise: Deep knowledge of SAP Business Technology Platform, including SAP AI Core, SAP AI Launchpad, and Generative AI Hub.
SAP Business AI Portfolio: Strong understanding of SAP Business AI building blocks — Joule, Joule Agents, Embedded AI, and AI Foundation — and how they work together to deliver business value.
AI/ML Architecture: Proven experience designing AI/ML solutions including MLOps, model lifecycle management, predictive models, and generative AI patterns (RAG, grounding, orchestration).
SAP HANA Cloud: Hands-on experience with SAP HANA Cloud, including the Predictive Analysis Library (PAL), Automated Predictive Library (APL), and Vector Engine for generative AI use cases.
Enterprise Architecture: Experience as an Enterprise Architect or Solution Architect with a track record of aligning IT architecture to strategic business objectives across SAP landscapes.
Integration & Connectivity: Proficiency in SAP integration patterns, OData/REST APIs, SAP Cloud Connector, and SAP Destination Service. [6]
Security & Compliance: Familiarity with SAP BTP security features, data privacy standards, and AI ethics frameworks including EU AI Act considerations where applicable.
Programming & Development: Proficiency in Python and/or TypeScript/JavaScript; experience with agent frameworks such as LangGraph, AG2 (AutoGen), CrewAI, or Smolagents is advantageous.

Key Qualifications :

2+ year SAP AI Architect / Development: Demonstrated experience building and deploying AI solutions using SAP AI Core, SAP AI Launchpad, and/or Generative AI Hub on SAP BTP. SAP certification as an SAP BTP Solution Architect or equivalent SAP AI/BTP certification.
1 Hands on project delivery experience.
Familiarity with SAP Knowledge Graph and SAP Foundation Model for grounding AI agents in enterprise business data
Hands-on experience with Joule Studio''s Agent Builder for extending Joule skills and building custom agents.
Experience deploying AI solutions in Cloud Foundry, Kyma, or Kubernetes environments on SAP BTP
Background in SAP Document AI for automating business document processing (invoices, purchase orders, delivery notes)

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: 10126196
Position Id: 9030882
Posted 18 hours ago

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Narinder Singh

Recruiter @ Shimento, Inc.

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SAP AI Architect

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Narinder Singh

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