17.10.2026 aktualisiert


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100 % verfügbarLead Solution Architect | Senior Backend Engineer | AI, Cloud & Enterprise Platforms
München, Deutschland
Weltweit
Software EngineeringÜber mich
Lead Solution Architect and Senior Backend Engineer with 10+ years of experience designing and delivering AI platforms, cloud-native systems, enterprise integrations and commerce solutions. Hands-on across AWS, Kubernetes, Node.js, PHP, Go and distributed architectures, from strategy to production.
Skills
AI AgentsPHPAPIsCloud-EngineeringData ArchitectureE-CommerceEnterprise Architecture FrameworkNode.jsSoftware ArchitectureTypoScriptPrometheusSolution ArchitectureSymfonySystemarchitekturAWS CDK
AI & Automation
Backend & Architecture
Cloud & DevOps
E-Commerce & PIM
System Integration
Data & Performance
I build production-ready AI systems focused on real business impact. Experience with automation, RAG pipelines, and agent-based workflows that reduce manual work and improve efficiency.
Tech: OpenAI, LangChain, CrewAI, vector databases, NLP, document processing
Backend & Architecture
Design and implementation of scalable backend systems with clean architecture. Focus on APIs, microservices, and long-term maintainability.
Tech: Node.js, NestJS, Python, Symfony, REST, GraphQL
Cloud & DevOps
Building and operating reliable cloud infrastructure with strong focus on scaling, automation, and stability.
Tech: AWS, Azure, Docker, Kubernetes, Terraform, CI/CD
E-Commerce & PIM
Strong experience in headless commerce and product data systems. Building scalable platforms and integrations.
Tech: Vendure, Pimcore, Shopify, payment integrations
System Integration
Connecting complex systems and building robust integrations across platforms and services.
Tech: REST APIs, GraphQL, ERP/CRM integration, event-driven systems
Data & Performance
Designing data architectures and optimizing system performance for high-load environments.
Tech: PostgreSQL, MongoDB, Redis, Elasticsearch, ETL
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2023
Sprachen
ArabischMutterspracheDeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Leading the architecture, engineering, and technical delivery of AMARA, an internal enterprise AI and agentic workflow platform at Merck KGaA. Transforming an experimental single-user AI assistant into a secure, scalable, multi-user enterprise platform.
- Technical leadership and coordination of the development team, including task delegation, sprint planning, backlog management, code reviews, mentoring, and delivery oversight.
- Project planning, requirements engineering, technical roadmaps, stakeholder alignment, architecture documentation, ADRs, and technical specifications.
- Hands-on development of Python/FastAPI backend services, AI agents, LLM orchestration, APIs, connectors, plugins, and enterprise integrations.
- Integration of Azure OpenAI, Azure AI Foundry, Microsoft Entra ID, MSAL, OAuth 2.0, and enterprise authentication.
- Architecture of RAG, document ingestion, embeddings, semantic search, and permission-aware knowledge retrieval.
- Design of agent orchestration, MCP/tool calling, approval workflows, audit trails, and secure execution.
- Multi-user authorization, resource-scoped permissions, PostgreSQL, and data governance.
- Full-stack architecture with Next.js, React, TypeScript, and shared API contracts.
- Quality assurance, automated testing, CI/CD, security standards, and production readiness.
- Collaboration with Product Owners, Enterprise Architects, UX/UI designers, and business stakeholders.
Designed and developed a self-hosted AI governance platform enabling organizations to securely deploy Large Language Models while protecting sensitive data and enforcing enterprise policies. The platform provides centralized AI security, PII protection, auditability, and policy-driven AI execution across cloud and on-premise environments.
Responsibilities- Designed the overall platform architecture and technical roadmap
- Developed a secure AI gateway for enterprise LLM applications
- Built PII detection, anonymization, tokenization, and data restoration workflows
- Implemented policy-based request validation and AI governance controls
- Designed role-based access control, authentication, and authorization
- Built comprehensive audit logging and traceability for AI interactions
- Developed support for OpenAI, Anthropic Claude, and self-hosted LLM providers
- Implemented secure proxy architecture for enterprise AI deployments
- Designed scalable REST APIs and SDK architecture
- Integrated monitoring, observability, and operational diagnostics
- Led architecture decisions, implementation, testing, and technical documentation
- Ensured GDPR compliance, security, scalability, and maintainability
TypeScript, Python, Node.js, NestJS, GLiNER, spaCy, OpenAI, Anthropic Claude, MCP, REST APIs, Docker, Kubernetes, Redis, PostgreSQL, JWT, OAuth2, RBAC
Designed and led the development of a cloud-native, multi-tenant AI commerce platform combining conversational AI, hybrid search, real-time availability, booking, analytics, and enterprise integrations. Owned the end-to-end solution architecture from concept through production, establishing the technical foundation, AI governance, cloud platform, and engineering standards.
Responsibilities- Owned the end-to-end solution architecture and technical roadmap
- Designed a distributed microservices and event-driven architecture
- Architected an 8-agent AI runtime with orchestration, RAG, memory, and tool execution
- Designed an enterprise MCP platform with secure, permission-based AI tools
- Built hybrid search using BM25, vector search, embeddings, and recommendations
- Designed scalable multi-tenant domain models and service boundaries
- Architected AWS cloud infrastructure using Infrastructure as Code
- Implemented AI governance, RBAC, GDPR compliance, observability, and security
- Defined APIs, integration patterns, and communication across platform services
- Led architecture reviews, engineering standards, and technical decision-making
- Collaborated with executive leadership, product stakeholders, and beta partners
- Contributed hands-on across backend engineering, AI systems, and cloud infrastructure
TypeScript, Go, Node.js, Mastra, OpenAI, Anthropic Claude, MCP, RAG, OpenSearch, Kafka, Redis, AWS ECS Fargate, Lambda, API Gateway, DynamoDB, S3, EventBridge, Cognito, Terraform, Docker, Kubernetes

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