SAP Functional Consultant; Senior

Position: SAP Functional Consultant (Senior)
Job Description

If SAP authorizations, warehouse operations, and solving complex business challenges get you excited, this could be your next adventure.

We're looking for a Senior SAP Functional Consultant to join a globally connected team delivering cutting-edge solutions across international logistics and warehouse environments.

You'll work with large-scale SAP landscapes supporting parts distribution centers, automated warehouses, inventory management, reporting platforms, and next-generation logistics processes used around the world.

Requirements

• SAP ERP Authorisations
• SAP BW Authorisations
• SAP GRC
• SAP Fiori Authorizations
• Functional knowledge of SAP Modules EWM,SD, WM & MM
• SAP Fiori Technical setup
• UI5 Knowledge
• SAP Analytics Cloud experience
• SAP Datasphere experience

Requirements
ESSENTIAL

SKILLS:

System Architecture Design:
Proven experience in designing and building agentic system architectures using frameworks like Amazon Bedrock Agent Core. Multi-Step Reasoning:
Strong expertise in orchestrating multi-step reasoning, tool invocation, and workflow automation for AI agents. Model Training and Deployment:
Deep hands-on knowledge of training and deploying models using PyTorch and Tensor Flow. Containerization:
Skills in Docker and Kubernetes for scalable and fault-tolerant ML/GenAI deployments. Networking for ML Workloads:
Solid understanding of networking principles, including VPC design and low latency communication patterns. MLOps Practices:

Experience with CI/CD for models, model versioning, and observability in ML systems. ADVANTAGEOUS

SKILLS:

Cloud Services

Experience:

Prior experience with Amazon Bedrock and other cloud-managed foundation model services. Infrastructure as Code:
Familiarity with tools like Terraform for reproducible cloud infrastructure. Serverless Architecture:
Knowledge of serverless components (e.g., AWS Lambda) for event-driven workflows. Data Engineering:
Experience in building reliable ETL/data pipelines for model training and feature stores. Observability Tools:
Familiarity with observability stacks like Prometheus and Grafana for monitoring ML services. Enterprise Compliance:
Understanding of compliance considerations in regulated industries (e.g., automotive, finance).