Location: We prioritize candidates located in Hungary, Poland and Serbia.

We offer a hybrid work setup, with one day per week in the office.

About us

Revenue.AI is revolutionizing how businesses approach pricing, revenue management, and commercial excellence through cutting-edge AI-driven solutions. By combining real-time analytics, automation, and artificial intelligence, we empower companies to make smarter, data-driven decisions.

We are looking for an AI Transformation Manager, to lead end-to-end AI transformation programs for our enterprise clients, owning both the delivery and the product decisions behind them.

The job is a perfect chance to join a team of AI revolutionaries and work with cutting-edge technology and key market players to shape the future of AI adoption. The ideal candidate has a technical background, is passionate about AI, has an agile way of working, and thrives in a fast-paced environment.

Role overview

Work independently with technical and business stakeholders.
Work on internal product architecture and support client engagements.
Understand business problems and perform due diligence.
Design and architect software solutions.
Estimate and outline the solution approaches and express and articulate the architecture and design rationale.
Implement proposed solutions and provide technical guidance to extended teams during the development and deployment phases.
Take complete technical ownership of the delivery of the given solution or solution suite.
Architect agentic and LLM-backed systems: model selection and routing, retrieval and context design, tool use, and orchestration across services.
Design for reliability in AI systems.
Own the non-functional side of AI: latency, token and inference cost, data boundaries, and audit trails.
Design solutions that deploy inside client environments, including governed internal AI platforms, and work within their security and compliance constraints.
Keep architecture supportable and transferable: document decisions and rationale so client IT and our own teams can operate what we build.
Communicate with customers technically and procedurally.
Architect and deliver solutions leveraging various platform services in Microsoft Azure.
Provide best practices around provisioning production and non-production environments on Azure to optimize the usage.
Collaborate with customers to understand their business objectives, facilitating a quick technical assessment and proposal development for leveraging platform services.
Work in an Agile/DevOps environment with continuous integration/continuous deployments and application lifecycle management.

We believe that you’ll enjoy this role if you are / have

Deep analytical skills
A strong communicator who escalates early rather than waiting for a problem to resolve itself.
Able to hold the big picture, you see how an architectural decision affects the business outcome, not only the system.
Solution-oriented and accountable: when something goes wrong you come with options, not with reasons why it was not you
Excellent presentation, communication, consultative and interpersonal skills
Startup experience
Remote work experience

Advanced English language skills.

What you’ll need to be successful

8+ years of professional .NET and/or Python development experience.
Strong expertise in container technologies (Docker) and orchestration platforms (Kubernetes).
Strong practical experience with Microsoft Azure and knowledge of Azure services capabilities and limitations.
Practical knowledge of solution/application architecture design principles and practices.
Strong understanding of distributed systems and cloud architecture patterns.
Strong expertise in building cloud-native enterprise-scale applications.
Thorough knowledge of implementing advanced security, authentication, and single sign-on solutions.
Fluent English.
Strong AI exposure is required:
- You have architected and shipped an AI system in production – not only a proof of concept. You can explain the design decisions you made on retrieval, model choice, evaluation and guardrails, what failed in production, and what you changed as a result.
- Working knowledge of the current AI stack: LLM APIs, RAG architectures, vector stores, agent frameworks, and how to evaluate output quality.
- You use AI daily in your own engineering work, and have the judgement to know where it helps and where it adds risk

How we hire

Expect to be asked for concrete automation use cases from your own role. In the later stage, you’ll also complete a workshop task based on real-life situations relevant to the role, using an AI tool of your choice. We would rather see what you can build than read about it.

Benefits of joining us

You will share a next-generation vision and mission through our revolutionary Digital Assistant for Revenue Management. You will have a purposeful job in our fast-growing environment where we will build something amazing together!
Even when you work hard, you will still have time for your personal life due to flexible working hours based on core time.
You will work in a flat and flexible organization where every team member has access to any team member. Working on exciting projects independently, while closely connected with leading, super cool and talented international experts encourages everyone to think outside the box and gain new experiences.
You will have the collaboration and support of the team whenever you need it.
You will enjoy the practicality of an easy-to-use digital workspace.
You can rely on us for anything right from your first day, and we will in turn also trust you to the utmost extent.
And you will find opportunities to have fun together with colleagues through (mainly virtual) team activities.

AI Solutions Architect

Similar jobs

AI Solution Architect / AI Integration Architect