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AI Solutions Architect

in 80331, München, Bayern, Deutschland
Unternehmen: Visium
Vollzeit position
Verfasst am 2026-10-01
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur, Maschinelles Lernen
Gehalts-/Lohnspanne oder Branchenbenchmark: 120000 - 180000 EUR pro Jahr EUR 120000.00 180000.00 YEAR
Stellenbeschreibung

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 ry 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 GenAI, 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.
Requirements
  • 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., GenAI, 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 PoC to production.
  • Excellent stakeholder management, communication, and technical leadership skills.
  • Experience mentoring engineering teams and influencing technical strategy.
Benefits

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.

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