AI Solutions Architect (f/m/d)
This listing is for an AI Solutions Architect (f/m/d) role at BeNeering GmbH, in Berlin, Germany. The listing describes it as a full-time position with hybrid working.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for an AI Solutions Architect (f/m/d) role at BeNeering GmbH, in Berlin, Germany. The listing describes it as a full-time position with hybrid working.
From the advert, the main requirements are 5+ years of experience and English language skills.
The advert mentions Python, AWS, Azure, GCP, Kubernetes, Docker, CI/CD and REST among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Benefits mentioned in the advert: bonus and flexible hours.
Visa sponsorship is not mentioned. Applicants from outside Germany should check the official work permit route before applying.
Dev Global Jobs found this job on Arbeitnow on Nov 3, 2026.
- Employer
- BeNeering GmbH
- Location
- Berlin, Germany
- Work mode
- hybrid
- Job type
- Full-time
- Pay
- Not stated by the employer
- Experience asked
- 5+ years
- Languages asked
- English
- Found
- Nov 3, 2026 on Arbeitnow
- Employer text
- 605 words, about 3 min to read
- Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 5+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (Python, AWS, Azure and GCP) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English plainly (for example B2 or C1).
- Read the employer’s full text below (about 3 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Berlin (ICSC post adjustment 40.2), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- EU Blue Card: Recognised degree and a job offer above the salary threshold
- Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
- Opportunity Card (Chancenkarte): Points-based job search for up to one year
Official routes: Make it in Germany (Federal Government portal)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01Who We Are
BeNeering was founded in 2007 by experienced SAP solution architects who had spent years working inside global corporations. We know from first-hand experience where procurement gets slowed down and how to fix it. As a German software company and certified SAP partner, we started out in consulting and became a solutions provider in 2013. Our core development team from that time is still with us today.
Our main product is the BeNeering Digital Procurement Platform. It uses AI-powered guidance and automation to make indirect procurement easy. The platform connects to SAP ECC and SAP S/4HANA in real time, so SAP remains the system of record while employees shop in a modern, intuitive interface that feels like a web shop. Many of our customers use it as the modern replacement for SAP SRM.
BeNeering is privately owned and has no outside investors. We don’t chase short-term targets. We build long-term partnerships and develop our product together with our customers
02About the Job
Do you design AI solutions that hold up in production, write solid Python, and enjoy being the person customers trust to deliver? At BeNeering you will architect and build AI features for procurement used by global companies, and run customer projects end to end.
03Responsibilities
Design the architecture of AI solutions for our procurement platform, including LLM-based assistants, AI agents, retrieval (RAG) and machine learning models
Develop production-grade Python services and APIs, from prototype to deployment, monitoring and continuous improvement
Run customer projects independently: scope requirements, plan and estimate, deliver, and report progress to customer stakeholders
Lead workshops and explain technical concepts clearly to both business users and IT teams
Integrate AI services with SAP systems (S/4HANA, SAP BTP) and with our cloud platform, working closely with our SAP developers and consultants
Ensure AI solutions are secure, reliable and compliant with data protection rules, including GDPR and the EU AI Act
Evaluate new AI technologies and models, set technical standards, and mentor colleagues across Germany and Poland
04Who You Are
University degree in Computer Science, Data Science, Mathematics or a related field
5+ years of professional software development experience, with strong Python skills (for example FastAPI, pandas, testing, packaging)
Proven experience designing and shipping AI/ML solutions to production, such as LLM applications, RAG, agents or classic ML models
Hands-on experience with LLM APIs and frameworks, vector databases and prompt engineering
Solid knowledge of cloud platforms (AWS, Azure or GCP), Docker, CI/CD and REST APIs
Track record of running customer projects on your own, from requirements to delivery
Excellent communication skills in English: able to present, run workshops and explain complex topics simply
Experience with SAP (S/4HANA, SAP BTP or SAP AI Core) or ERP integration
Knowledge of procurement or supply chain processes
Experience with Kubernetes, MLOps and model evaluation
Experience with transformers and finetuning of language models is a plus
Fluent in German is a plus
05Why Work With Us
Take on responsibility from day one and help shape our company and technology
Contribute your ideas to a fast-growing team with flat hierarchies
Use AI in your daily work and bring new ideas to how we work
Work closely with experienced experts from procurement and technology
Individual bonus payments based on performance
Flexible hours that adapt to your schedule, whether you’re an early bird or a night owl
A hybrid model that combines office time and working from home
A laptop and company phone, which you can also use privately
Additional days off on Christmas Eve and New Year’s Eve
Regular team events and an annual company event with networking opportunities
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