SAP Business AI Lead Architect

NTT DATA, Inc.
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

SAP Cloud JavaScript (Programming Language) Advanced Business Application Programming (ABAP) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Application Frameworks Microsoft Azure Information Engineering DevOps Python (Programming Language)
+16 more
Machine Learning SAP ERP SAP (Applications) SAP Business Suiteing SAP Configuration SAP Project System Software Engineering Systems Integration Large Language Models Multi-Agent Systems Prompt Engineering Generative AI SAP Business Technology Platform AI Platforms Information Technology SAP S/4HANA

Job description

The SAP Business AI Lead Developer / Architect is a senior technical leadership role responsible for designing, developing, and scaling AI-driven solutions across SAP S/4HANA environments for enterprise clients.

This role combines deep SAP expertise with advanced AI/ML capabilities, leveraging SAP Business AI, SAP Joule, and generative AI technologies alongside leading non-SAP AI platforms. The individual will drive innovation, establish scalable architectures, and lead development teams to deliver high-impact AI-enabled business transformations.

Duties and Responsibilities:

AI & Solution Architecture Leadership

  • Architect end-to-end solutions integrating SAP and external data/AI platforms
  • Lead the design and implementation of AI-driven solutions within SAP S/4HANA landscapes
  • Architect scalable and secure solutions leveraging SAP Business AI, SAP Joule, and embedded AI capabilities
  • Define integration patterns between SAP and external AI platforms
  • Establish reusable frameworks, accelerators, and development standards for AI at scale
  • Build reusable accelerators, assets, and industry-specific AI packages

Development & Delivery

  • Drive hands-on development of AI/ML and generative AI solutions integrated with SAP BTP and S/4HANA
  • Lead technical teams in building, testing, and deploying AI-enabled applications
  • Ensure high-quality delivery, performance, and scalability across client implementations
  • Collaborate with functional and technical teams to embed AI into core business processes

Client & Innovation Impact

  • Partner with clients to identify and prioritize high-value AI use cases across finance, supply chain, procurement, and operations
  • Translate business requirements into scalable AI-enabled SAP solutions
  • Drive innovation through adoption of emerging SAP and non-SAP AI technologies
  • Act as a trusted advisor to client stakeholders on AI strategy and execution

Integration & Ecosystem

  • Integrate SAP AI capabilities with non-SAP platforms such as Azure AI, OpenAI, AWS AI/ML, and Google AI
  • Leverage SAP BTP services for data, AI, and application development
  • Work across hybrid data environments combining SAP and non-SAP systems

Operational & Team Leadership

  • Mentor and guide developers and architects on AI and SAP best practices
  • Support scaling of development capabilities across multiple client engagements
  • Contribute to delivery excellence, utilization, and capability growth

Requirements

Required

  • Bachelor’s degree in Computer Science, Engineering, Business, or related field
  • 7+ years of SAP experience, including S/4HANA implementations and extensions
  • Strong expertise in SAP Business AI, SAP Joule, and embedded AI capabilities
  • SAP certifications in S/4HANA, BTP, or AI-related areas (SAP Certified Associate - SAP Generative AI Developer)
  • Hands-on experience with AI/ML or generative AI solutions in enterprise environments
  • Knowledge of LLMs, prompt engineering, and AI orchestration frameworks
  • Familiarity with non-SAP AI platforms (Azure OpenAI, AWS, Google AI, etc.)
  • Proficiency in Python, JavaScript, ABAP, or similar languages
  • Experience with APIs, integrations, and enterprise architecture
  • Experience managing employees with an ability to inspire, motivate, and develop others
  • Strong problem-solving and communication skills
  • Willingness to travel as needed

Preferred

  • Experience with SAP Datasphere, SAP Analytics Cloud, and data engineering pipelines
  • SAP certifications in S/4HANA, BTP, or AI-related areas
  • Experience in consulting or client-facing roles
  • Familiarity with Agile and DevOps practices

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