This role pays less than
97%
of similar roles. Most pay
$181,993–$246,150
— the shaded band above.
At the midpoint, this role pays about
$139k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
45 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 42 roles with salary data.
Manager, SAP Business Technology Platform AI Engineering leads a team of developers and engineers to drive application development, AI innovation, and engineering delivery using the SAP Business Technology Platform (BTP). The role focuses on designing, deploying, and supporting enterprise applications, reusable services, and digital products while integrating SAP Business AI capabilities like Joule. Key responsibilities include managing agile teams, establishing coding standards, and implementing Generative AI solutions involving Large Language Models, Retrieval Augmented Generation, and agentic workflows. Technical requirements include proficiency in CAP, RAP, SAP Build, SAP Build Code, Fiori/UI5, APIs, SAP HANA Cloud, and ABAP Cloud. The position addresses the challenge of modernizing enterprise business processes through cloud-native architectures, intelligent automation, and AI-assisted software engineering to deliver scalable, secure, and maintainable solutions within a complex corporate environment.
Lead a team of developers and engineers in designing, developing, and deploying enterprise applications on SAP Business Technology Platform (BTP).
Drive the development of cloud-native applications using CAP, RAP, SAP Build, and other BTP services.
Manage the full application lifecycle including planning, testing, deployment, and risk management for agile teams.
Implement and operationalize SAP Business AI, Generative AI solutions, and agentic workflows to improve business processes.
Establish engineering standards, reusable frameworks, and DevSecOps practices to ensure scalable and secure software delivery.
Oversee the integration of AI-assisted software engineering capabilities to improve developer productivity and code quality.
Ensure all applications and AI solutions comply with enterprise security, privacy, and data governance standards.
Manage and mentor a technical team through performance management, coaching, and career development planning.
What we're looking for
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field.
8+ years of technology experience with significant experience in enterprise application development and software engineering.
Strong experience with SAP Business Technology Platform (BTP) and enterprise application development.
Hands-on experience with CAP, RAP, SAP Build, SAP Build Code, Fiori/UI5, APIs, SAP HANA Cloud, Workflow, and Business Rules.
Knowledge of SAP Business AI, Joule, Generative AI, Agentic AI, and AI-assisted software engineering concepts.
Experience leading application development teams and enterprise delivery initiatives.
Strong understanding of ABAP, ABAP Cloud, RAP, CAP, APIs, extensibility frameworks, and application lifecycle management.
Experience with Agile methodologies, DevOps, CI/CD pipelines, GitHub, testing automation, and release management.
Strong understanding of enterprise architecture, security, governance, compliance, and responsible AI principles.
Certifications in SAP BTP, SAP Build, SAP AI, AI/ML, Cloud Development, or related technologies (preferred).
Experience with SAP AI Foundation, Joule for Developers, RAG architectures, vector databases, AI agents, prompt engineering, observability, and evaluation frameworks (preferred).
Experience implementing enterprise Generative AI solutions and intelligent business applications (preferred).
SAP BTP
SAP Basis
Hana
Cloud Foundry
Kyma
Kubernetes
Terraform
CI/CD
SAP Integration Suite
API Management
Event Mesh
CAP
RAP
Cloud Connector
IAS
IPS
OAuth 2.0
SAML 2.0
SSL/TLS
Cloud ALM
Python
Azure AI
GenAI
LLM
RAG
Vector Databases
MLOps
LLMOps
CI/CD
Microsoft 365
SharePoint
Graph API
Power Platform
GitHub Actions
API
Data Engineering
SAP
S/4HANA
BTP
Fiori
ECC
GRC
EWM
BW
Rise with SAP
Segregation of Duties
SOX
ITGC
Information Security
Risk Management
Audit Readiness
Security Architecture