Day to Day job Duties:
- The SAP AI Architect is responsible for defining and driving the technical vision, architecture, and delivery of AI/ML-enabled solutions within the SAP ecosystem.
- Ensure that business requirements are translated into scalable, secure, and maintainable AI solutions integrated with SAP platforms and aligned with enterprise strategy.
- Lead the architecture and design of AI/ML solutions embedded in the SAP landscape (S/4HANA, SAP BTP, SAP Data Intelligence, SAP Analytics Cloud etc.).
- Collaborate with business stakeholders and technical teams to capture requirements and convert them into solution designs.
- Define data architecture, pipelines, model deployment flows, and integration patterns for AI/ML in SAP environments.
- Select appropriate AI technologies, platforms, and frameworks (LLMs, predictive analytics, anomaly detection) that align with SAP capabilities.
- Ensure scalability, performance, reliability, and security of AI solutions within the SAP system landscape.
- Lead implementation phases, from design to deployment, integration, testing, and rollout.
- Create and maintain architecture documentation and model life-cycle strategies.
- Monitor AI and SAP technology trends and propose innovations and optimizations.
- Manage risks, compliance and governance required for AI/ML adoption/implementation.
Basic Qualifications: Must Have's
- Bachelor's or master's degree in computer science, Data Science, Engineering, or related field.
- 812+ years of experience in AI solution development, architecture, and implementation.
- Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and programming languages (Python, R).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong architectural design and system integration skills.
- Excellent communication and stakeholder management abilities.
- Proven leadership in cross-functional team environments.
- Commitment to continuous learning in evolving AI and SAP technologies.
Travel: This position requires limited or No travel.
Nice to Have (but not a must):
- Deep knowledge of SAP technologies: S/4HANA, SAP BTP, AI Core, AI Launchpad, Data Intelligence, SAP Analytics Cloud.
- DevOps knowledge (CI/ CD, Jenkins, Pipeline Management)
- Hands on experience development full stack application on BTP using CAP and/or RAP frameworks.
- Hands-on experience in BTP Process Automation, RPA bot development is advantage
