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Sopra Steria

IT consulting, digital services, and transformation

AI Architect - Public Sector

AI & Machine LearningPosted on Nov 12
Full-timeRemote in Germany$72k - $124k

About the Job

Requirements

  • Completed degree in (business) computer science, (business) mathematics, business/economics, or a comparable program.
  • Several years of experience translating customer requirements into viable architecture concepts, ideally in AI contexts.
  • Extensive practical experience putting AI solutions into production, using container orchestration and microservices architectures.
  • Familiarity with technical, infrastructure, and data requirements of AI use cases, including architecture principles, data storage and flows, and computing performance.
  • Practical experience with GenAI/ML-Ops and CI/CD pipelines, and confident use of frameworks and tools such as Kubeflow, Kubernetes or OpenShift, Jenkins, Terraform, Helm Charts, Kafka, or Nexus.
  • Knowledge of cloud technologies such as Azure and experience with data governance are advantageous.
  • Ability to use AI tools thoughtfully, critically assess results, and incorporate technological developments and innovations into work, projects, and customer solutions.
  • Very good German at least C1 level and English, with the ability to communicate confidently with customers and partners in technical and business discussions.

Responsibilities

  • Design, build, and further develop use-case-specific production systems and GenAI/ML-Ops-capable infrastructures to put AI applications into production efficiently, scalably, and securely.
  • Work closely with GenAI developers, data scientists, ML Ops engineers, and data engineers, advising on technical prerequisites for successful business use cases.
  • Select and integrate suitable architecture components, systems, and tools, ensuring they meet project requirements and strategy.
  • Develop architecture and development guidelines and operating concepts for AI production systems, and provide technical guidance to project teams.
  • Advise customers from requirements definition through design and implementation, ensuring solutions are technically sound and practical.
  • Take responsibility for quality and project success, and contribute to further developing the consulting portfolio.
  • Develop AI-supported solutions and automations, critically assess their value and limitations, and identify opportunities to improve or establish processes.
  • Work in hybrid and onsite settings according to customer needs and project circumstances.

Desired Qualifications

  • Knowledge of cloud technologies such as Azure.
  • Experience in data governance.
  • Experience translating customer requirements into architecture concepts in AI contexts.

About the Company

Sopra Steria

IT consulting, digital services, and transformation

Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1968

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