AI Solutions Architect in Großmehring, München

Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale.

We’re not a strategy firm that ships slide decks and walks away.

Not a tech consultancy that builds what won’t get adopted.

Not a product company chasing problems it doesn’t understand.

We’re all three at once: strategy, deep technical and integration expertise, and product, working as one.

That combination is our flywheel.

Consulting keeps us close to the hardest real-world problems.

Products let us solve them at scale.

Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain.

We’re obsessed with outcomes.

While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains.

We are AI-native, not AI-adjacent.

We don’t bolt AI onto broken workflows; we redesign them with AI at the core.

Role As an AI Solutions Architect, you will design and deliver end-to-end AI solutions on top of the client’s AI platform.

You will bridge business needs and technical implementation, ensuring AI use cases are scalable, secure, and production-ready.

Working in close partnership with the Data Platform Architect, you will define solution architectures, guide implementation, and drive AI best practices across the organization.

Your responsibilities will include: Design and deliver end-to-end AI solutions, from proof of concept to production.

Architect AI use cases, including Gen AI, RAG, AI agents, and classical ML solutions.

Collaborate with business and technical stakeholders to translate requirements into scalable solution designs.

Partner closely with the Data Platform Architect to leverage and evolve the underlying AI platform.

Define and promote AI architecture standards, best practices, and governance.

Guide engineering teams throughout implementation, ensuring quality, scalability, security, and compliance.

Evaluate emerging AI technologies and frameworks to continuously improve solution design.

Mentor engineers and provide technical leadership across AI initiatives.8+ years of experience in AI Solution Architecture, Machine Learning, Data, or Cloud Engineering roles.

Proven experience designing and delivering production-grade AI solutions (e. g., Gen AI, RAG, AI agents, ML) on Azure.

Deep expertise in Azure AI services, Azure ML, Databricks, Synapse, and related cloud technologies.

Strong knowledge of AI/ML pipelines, MLOps, LLMOps, evaluation frameworks, and data governance.

Solid understanding of cloud infrastructure, networking, identity, security, monitoring, and deployment.

Experience defining AI architecture best practices and guiding solutions from Po C to production.

Excellent stakeholder management, communication, and technical leadership skills.

Experience mentoring engineering teams and influencing technical strategy.

What we offer A competitive compensation package A yearly education budget to steep your learning curve A yearly sport budget because a fit body leads to a fit mind A flexible working culture because your work-life balance matters to us A position that enables you to have an impact on 1’000s of people, and the whole company’s growth.

An international, knowledgeable, and passionate team with a strong collaborative mindset Check our Linked In and website to learn more about us & don’t hesitate to contact us if you have any questions. #J-18808-Ljbffr