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IBM

Senior SAP BTP Business AI Consultant

IBM

Published 13 May 2026
Stockholm, Sweden
Full Time

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Role Highlights

Languages used

Python

Key skills

Project Management
Solution Architect
Generative AI
Cloud
Transformation

Tools, Libraries and Frameworks

IOS
Red Hat
IBM
SAP
ITIL

Description

The role involves serving as a leader in defining technical solutions for clients while acting as an advocate for their needs. The individual will guide technical teams through the implementation process and act as a conduit between business requirements and technology. Responsibilities include designing technical solutions to support business transformations and articulating these solutions in business terms. The position requires managing project deliverables and timelines to ensure successful execution. Additionally, the role involves providing architectural oversight and functional specifications based on specific business needs.

Required Qualifications and Skills

The role requires technical proficiency in building Generative AI applications and AI Agents. Candidates must possess the ability to navigate fragmented landscapes using API calls and MCP servers. A focus on sales and the ability to communicate the importance of Ethical AI principles are necessary. While no specific degree is mentioned, the position values professional expertise in technical solution design and project delivery.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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