Senior AI Solution Architect (m/f/d)- Enterprise AI & Agent Systems

Role Overview
As a Senior AI Solution Architect — Enterprise AI & Agent Systems at Döhler, you drive the design, implementation, and production delivery of AI/ML-powered enterprise solutions in a regulated food & beverage environment. You combine architectural ownership with hands-on coding, building scalable, secure, and compliant AI systems that integrate seamlessly into enterprise platforms and business processes.

Your Role

• Design and deliver end-to-end architectures for AI agent systems, RAG pipelines, and LLM-based enterprise applications, including MCP, vector databases, embedding pipelines, and async processing
• Define and implement integration patterns between AI services and enterprise platforms such as SAP, OTRS/Znuny, SharePoint, CRM, and Microsoft 365/Graph
• Contribute hands-on to core components, integration layers, prototypes, and reference implementations, mainly in Python and partly in TypeScript, while setting coding and architectural standards
• Build production-ready AI environments with Docker, GitLab CI/CD, Linux, and observability stacks such as Grafana, Loki, Mimir, and Prometheus
• Establish MLOps and LLMOps standards including model versioning, monitoring, A/B testing, failover strategies, logging, and traceability
• Evaluate LLMs, embedding models, vector stores, and agent frameworks through hands-on benchmarking and practical validation
• Design and optimize RAG architectures, ingestion pipelines, retrieval strategies, and data flows using technologies such as PostgreSQL, Redis, and Celery
• Lead AI implementation projects end-to-end, translate business requirements into technical solutions, and work closely with stakeholders, Excellence Managers, and the AI Governance Committee
• Ensure compliance with Döhler’s AI Usage Policy, GDPR, and EU AI Act by implementing required controls for security, explainability, human oversight, auditability, and risk management

Your Profile

• Degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field
• Several years of experience in software engineering or solution architecture, including strong experience with AI/ML systems in production
• Strong hands-on Python skills, ideally with FastAPI, async processing, Celery, LangChain, and Pydantic; working knowledge of TypeScript/JavaScript is a plus
• Experience with distributed systems, microservices, APIs, and event-driven architectures
• Hands-on experience with LLMs, RAG pipelines, embedding models, vector databases, and agent-based AI systems including MCP, tool use, and orchestration patterns
• Strong understanding of Docker, CI/CD, observability, Linux, and backend technologies such as PostgreSQL and Redis
• Experience integrating AI solutions with enterprise systems such as SAP, Microsoft 365, SharePoint, CRM, or ticketing tools
• Good understanding of GDPR, EU AI Act, and regulated environments; experience in food, beverage, chemical, pharma, or manufacturing is an advantage
• Strong communication skills, structured thinking, business understanding, and the ability to lead across teams without direct authority
• Experience with Open WebUI, self-hosted LLM platforms, SharePoint/Graph integrations, or the MCP ecosystem is a plus
• German language skills are an advantage