Job
In this role, you will design the next generation of AP automation centered on AI, create the architecture, and develop Python prototypes to test and implement innovative solutions.
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Your role in the team
- Designing the next generation of AP automation, with AI as the foundation.
- The person who decides what accounts-payable automation looks like at Springtime for the next five years, and who builds enough of it to prove the case.
- Architectural authority across the platform, AI at the centre of the design, and hands still in the Python.
- Invoicetrack has processed invoices for enterprise finance teams for years.
- The product works and the customers are real.
- The question this role exists to answer is what comes next: how AP automation should be built when AI is the foundation of the system rather than a capability added to its edges.
- That is an architectural question before it is an engineering one.
- It determines where models belong and where deterministic logic belongs, how data flows through extraction, validation, and approval, what we can promise customers about accuracy and auditability, and what our platform needs to become to support all of this.
- You own that design end to end and see it through to production.
- This is a hands-on role.
- You will write Python, build the prototypes that settle the hard arguments, and produce reference implementations teams can build against.
- Own the architecture.
- Prove it in code.
- Own the target architecture for AI-led AP automation: where the product is headed over the next three to five years and what needs to change to get there.
- Set architectural direction across the platform: service boundaries, data flows, integration patterns, and how our .NET platform and Python AI services fit together as one system.
- Stay hands-on in Python.
- You prototype the difficult parts yourself and write the reference implementations that show how the architecture is meant to work.
- Decide where AI belongs and where it does not.
- Machine learning, LLMs, agentic workflows and deterministic rules each have a place.
- You make the call and document the reasoning behind it.
- Design for what enterprise finance actually requires: accuracy, explainability, auditability, data residency, security, and cost per document at volume.
- Turn architecture into a roadmap with the CTO and product leadership, including migration paths, sequencing, and what we stop doing to make room.
- Lead through influence.
- Architecture reviews, design documents, pairing, and mentoring across engineering teams, without a reporting line to fall back on.
- Raise the engineering bar for how models, services and data pipelines are built, tested, deployed and monitored, and hold teams to it in review.
- Treat evaluation as an architectural concern: datasets, metrics, and error analysis, so that our claims about extraction accuracy and touchless rates hold up under scrutiny.
- Own build, buy and model selection decisions, including the long-term cost, portability and lock-in consequences of each.
- Act as our senior technical voice outside the company, engaging with enterprise customers’ architects and security teams, as well as ERP and integration partners.
Our expectations of you
Education
- A degree in computer science or equivalent professional experience.
Qualifications
- An architect who still writes the code.
- A track record of owning architecture at enterprise scale and carrying it through to delivery, including the parts that went wrong.
- Strong, up-to-date Python skills.
- Du schreibst weiterhin produktiven Code und würdest dich in einer Rolle, in der du das nicht tust, unwohl fühlen.
- AI systems you designed, shipped, and operated.
- Machine learning or LLM-based systems in production, and clear views on their failure modes.
- Depth in distributed systems and API design: service boundaries, consistency, failure handling, and performance under load.
- Strong relational data modelling, for example SQL Server: schema design, data integrity and query performance at volume.
- Cloud architecture, CI/CD and containerized deployment (Docker), as well as hands-on knowledge of what it takes to operate and monitor these systems.
- Judgment about when not to use a model.
- You know when rules, heuristics, or a smaller model outperform an LLM, and can justify that choice to both engineers and executives.
- Influence without authority at senior level.
- You have taken an engineering organisation through an architectural change and brought the people with you.
- Credibility with executives and customers.
- You can explain architecture, risk and trade-offs to people who do not write code.
- Fluent in English, both spoken and written.
Experience
- Ten years in software engineering, several of them at principal, lead architect, or chief architect level in a product company.
What we offer
- The minimum gross salary for this position is €5,444 per month, as stipulated in the IT Collective Agreement.
- The actual salary will be based on your qualifications and experience.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Topics you will work on
Job locations
About your employer
Mödling, Wien
Springtime GmbH has developed and operates a global web platform for automated processing of business documents. Expert knowledge in the areas of artificial intelligence and cloud computing is the basis for success in 40 countries.Since 2004, Springtime GmbH has been running the international 24/7 service platform Invoicetrack, which today is used by more than 20,000 users from 28 countries daily.
- 1-49 Employees
- 2004
- Established Company
- Hybrid, Onsite
- Internet, IT, Telecommunication · Law, Finance, Economics
Employer reviews
- Team culture
- 2.3
- Working conditions
- 3.8
- Engineering
- 2.0
- Career growth
- 2.4
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