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
Your Benefits
- Culture: Friendly and informal atmosphere, family‑owned company, flat hierarchies, short communication channels, and helpful colleagues
- Impact: You are an integral part of our business success and make an important contribution to the future of nutrition
- Empowerment: You can fully unleash your potential and have the opportunity to take on responsibilities
- Digitalization: We maintain excellent partnerships with market‑leading innovators, allowing you to access and work with state‑of‑the‑art technologies
- Anniversary and special payments
- Employee referral bonuses
- Additional benefits: Christmas parties, events, financial benefits, and online shop discounts (e.g., IT leasing, mobile phone contracts, shopping, and travel discounts, etc.)
- Welcome@Döhler: Onboarding event for all new colleagues, as well as several weeks of individual training
- Döhler Academy: You have the opportunity to continuously develop your education further through internal and external training programs
- Food is taken care of: On‑site cafeteria with regional and varied cuisine and complimentary drinks
- Stay fit: Take advantage of local sports offerings at reduced prices
- Mobility: Subsidized Germany ticket or JobRad
- Insurance benefits such as company pension plans and accident insurance
- Global growth trajectory: Challenging and internationally oriented work at our headquarters in Darmstadt
- Attractive location in Darmstadt: Easily accessible by train, bus, on foot, or by car (free parking)
Equal opportunities for all
We welcome applicants, who are just as diverse as we are – regardless of age, ancestry, disability, ethnic origin, gender, nationality, religion, sexual orientation, social background or any other characteristic protected by applicable laws, regulations and ordinances.