12 beste Stellen als python in darmstadt, he – aktuell auf Personalsuche

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

Döhler GmbH -
Darmstadt

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Details zur Stelle

vor 1 Tag

Leistungen

Kostenloser Parkplatz
Firmenfahrrad-Leasing
Empfehlungsprogramm

Qualifikationen

CRM-Software
CI/CD
Informatik
Master
Microservices
Docker
JavaScript
PostgreSQL
Verteilte Systeme
Redis
SharePoint
APIs
A/B-Test
Produktion
Künstliche Intelligenz
TypeScript
GitLab
Kommunikationsfähigkeit
Python
Deutsch

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

Posting Date: 7/10/26

Reference ID: 42710

Are you interested in high-quality, natural, and tasty nutrition?

We are! It’s our ambition to shape the future of nutrition.

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.

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

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.

Become a part of our team and apply online through our career portal to the attention of Naima Mohamad. Please note that we are unable to consider or return application documents sent by mail.

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