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Senior SAP AI Developer Location: Fully Remote – US (EST / CST / PST time zones) Duration : 7 Months (With possible e...

Contract Remote Ai Ai Engineer

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BCforward is currently seeking highly motivated AI Platform Engineer in Remote. Position Title: AI Platform Engineer ...

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At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ou...

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Bij DAS maken we juridische hulp toegankelijk voor iedereen. Digitalisering en automatisering zijn cruciaal in onze m...

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Přehled Research Scientist (or Postdoctoral Researcher) for ONIM‑RAM The Nuclear Physics Institute of the Czech Acade...

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Dear All, Vertex Elite is currently seeking a qualified AI/ML Engineer to join our team. If you or someone you know i...

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Selected role

Generative AI Engineer

Net2Source (N2S)

$135k Senior Full-time

*Job Title: Senior SAP AI Developer

Location:**
Fully Remote – US (EST / CST / PST time zones)

Duration
: 7 Months (With possible extension)

Pay Rate Range:
$60 to $65 per hour on W2

Job Summary:

We are seeking an experienced SAP AI Developer to design and deliver intelligent, enterprise-grade AI solutions leveraging the SAP AI ecosystem. This role focuses on building and deploying AI and Generative AI capabilities on SAP Business Technology Platform (BTP) using SAP AI Core, AI Launchpad, and SAP Joule, integrated with enterprise SAP applications such as S/4HANA, ERP, and business process platforms.

The ideal candidate combines strong
Python-based AI development skills
with hands-on experience in SAP AI frameworks like SAP AI Core, SAP AI Launchpad, Joule Studio, RAG architectures, and Model Context Protocol (MCP)-enabled integrations, serving business scenarios such as finance, procurement, and enterprise automation.

Experience Level:
5–7 years of relevant experience.

Key Responsibilities:

Design and develop AI-powered applications using SAP AI Core , SAP AI Launchpad , and SAP Joule on SAP BTP .
Build and integrate Generative AI solutions using LLMs with enterprise context grounded through SAP data sources.
Implement RAG-based architectures and MCP-enabled services to connect AI models with SAP systems, APIs, and business data.
Develop Python-based backend services for model orchestration, inference, and integration with SAP applications.
Deploy, manage, and monitor AI models following SAP AI lifecycle governance and responsible AI practices.
Integrate AI solutions with SAP enterprise processes such as Order-to-Cash , Procure-to-Pay , and Record-to-Report .
Work with SAP BTP services such as AI Core , Integration Suite , Datasphere , and HANA Cloud for AI enablement.
Collaborate with SAP functional, data, and business stakeholders to identify and implement AI use cases.
Implement CI/CD and MLOps practices ensuring scalable and compliant AI deployments.
Support AI solution design, feasibility analysis, and innovation initiatives for enterprise transformation.

Required Skills & Experience:

5+ years of experience in AI/ML solution development with strong expertise in SAP BTP and SAP AI services: SAP AI Core , SAP AI Launchpad , SAP Joule .
Strong proficiency in Python .
Solid knowledge of Generative AI implementation in enterprise contexts.
Experience designing RAG architectures and implementing AI workflows using MCP or similar orchestration patterns.
Familiarity with ML model lifecycle management including training, deployment, and monitoring.
Experience integrating AI solutions with enterprise systems via APIs and SAP services.
Understanding of SAP data models and business process integration concepts.
Experience with Git and collaborative development environments.
Knowledge of prompt engineering , AI governance, and ethical AI deployment practices.
Strong problem-solving abilities and innovation mindset.
Excellent communication skills and ability to work in distributed global teams.

Preferred Qualifications:

Experience working with SAP S/4HANA data models or SAP applications (Finance, Supply Chain, Procurement).
Familiarity with SAP CAP / RAP or SAP extensibility patterns on BTP.
Exposure to SAP Integration Suite or enterprise integration architecture.
Experience building agent-based AI applications using SAP Joule.
Knowledge of enterprise process automation using AI for business transformation.

Soft Skills:

Strong analytical and debugging capabilities.
Ability to translate business requirements into AI-driven solutions.
Proactive, curious, and adaptable to evolving AI technologies.
Excellent collaboration and stakeholder communication skills.

Education:

Bachelor's or Master's in
Computer Science
,
Data Science
,
AI
, or a related field

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