Senior AI Developer (SAP & AWS)

In this role, you will build modern AI applications that automate enterprise business processes. You will use your SAP knowledge to understand the business needs (e.g., Supply Chain, Finance flows) and your coding skills to build "Agentic Workflows" using AWS Bedrock. You are not just configuring a tool; you are developing full-stack AI solutions and deploying them via robust CI/CD pipelines., 1. Build AI Solutions for SAP

• Collaborate with stakeholders to identify SAP business processes that can be improved with Generative AI.
• Develop "Agentic Workflows" using AWS Bedrock that allow users to interact with SAP data using natural language.
• Ensure the AI agents accurately interpret business intent (e.g., distinguishing between a "Sales Order" and a "Purchase Order").

2. Application Development (Python/Node.js)

• Write production-ready code to build the logic behind the AI agents.
• Develop Lambda functions and microservices that process data and handle API requests between AWS and SAP.

3. Deployment & DevOps

• Manage the software lifecycle using Git (Branching, Pull Requests, Code Review).
• Build and maintain CI/CD pipelines to automate the testing and deployment of your AI applications and infrastructure.

4. Technical Consulting

• Act as the bridge between "Business Process" and "AI Technology".
• Translate complex SAP requirements into technical specifications for the AI models.

Mandatory Skills (Must-Haves)

SAP Consulting Experience: Strong background in SAP (Functional or Technical). You must understand enterprise business processes (e.g., Order-to-Cash, Procure-to-Pay) to build effective AI tools.

AWS Agentic Workflows: Experience using AWS Bedrock and Agent Core to build AI agents that can reason and execute tasks.

Strong Coding: Proficiency in Python and Node.js for backend development and API integration.

DevOps & Git: Solid experience managing your own code deployments using Git and CI/CD pipelines.

Preferred Skills & Certifications (Nice-to-Have)

SAP BTP: Experience developing on the SAP Business Technology Platform.

API Integration: Experience connecting AI services to SAP OData or REST APIs.

Certifications:

AWS: AWS Certified Developer - Associate, AWS Certified DevOps Engineer, or AWS Certified Machine Learning - Specialty.

Technical Stack Requirements

• Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core.
• Cloud Platform: AWS (Lambda, API Gateway, S3, IAM).
• Programming Languages: Python (Primary), Node.js.
• DevOps & Tools: Git, CI/CD (GitHub Actions / AWS CodePipeline), Terraform or CloudFormation (IaC).
• Integration Standards: REST APIs, OData, OpenAPI (Swagger) Specifications, JSON.
• SAP Environment: SAP ECC, S/4HANA, SAP BTP.

As a technology and business partner, MHP has been digitizing the processes and products of its around 300 mobility and manufacturing sector customers worldwide for 29 years. For the management and IT consultancy, one thing is certain: digitization is one of the biggest levers on the path to a better tomorrow. Headquartered in Germany, the consultancy operates internationally and counts around 4,800 MHP employees. mhp.com/newsroom Exclusive look behind the scenes At MHP, continuous growth is part of the journey. We are at the forefront of digital transformation in the automotive sector. We offer an innovative, collaborative environment that supports both personal and professional development-making us an ideal partner for your career. Whether you're looking for expert input or opportunities to expand your network, you'll find both here. What you can expect: * Respect and recognition - We value individuality, support one another, and celebrate shared success. * A culture of innovation - New ideas and fresh perspectives are always welcome. * Opportunities to grow - Expand your expertise, take on more responsibility, and evolve with your role.