Senior AI Solution Architect - Enterprise AI & Agent Systems

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, * 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 DarmstadtAttractive location in Darmstadt: Easily accessible by train, bus, on foot, or by car (free parking)

Equal opportunities for all

• 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

Pulled from the full job description

• Referral program
• Free parking

Döhler is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries. We use innovative technology to process plant-based raw materials and enrich products such as lifestyle drinks, cereals, dairy, and confectionery goods for almost every well-known brand. Over 10.000 dedicated employees in more than 70 countries share one common goal - to ensure that millions of people around the world enjoy the products created by us. We strive to inspire and empower our employees in everything we do, and we invite you to join our team - together WE BRING IDEAS TO LIFE.