Sopra Steria
IT consulting, digital services, and transformation
AI Platform Engineer - m/w/d
Hybrid work within Germany, with possible limited-period work in defined EU countries; project work may require client-site travel across Germany.
About the job
- A completed degree in business informatics, business mathematics, industrial engineering, or a comparable field, ideally with a focus on machine learning, artificial intelligence, or cloud technologies.
- Very strong knowledge and several years of professional experience in container-based architectures, such as Docker, and platforms such as Kubernetes or OpenShift, particularly for GenAI and machine learning infrastructure.
- Solid knowledge and experience with tools and frameworks for the machine learning and GenAI lifecycle, including Hugging Face, NVIDIA AI Enterprise, vLLM, and LangChain, as well as model training, fine-tuning techniques such as LoRA and prompt tuning, and model deployment.
- Knowledge and experience with cloud solutions such as Amazon Web Services, Azure, Google Cloud, or IBM Cloud, particularly for deploying machine learning and GenAI applications.
- Extensive experience with automation and development tools, including Python, scripting tools such as Ansible and Terraform, software development tools such as Git, GitLab, and Jenkins, and Linux-based operating systems.
- Experience communicating complex technical matters to the relevant audience and working in large information technology environments and organizations, ideally in the public sector.
- Good German language skills at B2 level or above and English language skills.
- Design and implement end-to-end GenAI and machine learning infrastructures covering the complete lifecycle of AI use cases, from data preparation, model training and fine-tuning through continuous retraining trigger systems, model-as-a-service delivery, and monitoring.
- Plan, build, and administer on-premises or cloud operating platforms for GenAI and machine learning applications using technologies such as Kubernetes and modern container orchestration approaches.
- Analyze and optimize existing customer platforms.
- Provide and deploy local large language models and generative artificial intelligence models on the platform, including integrating tools and application programming interfaces for GenAI workflows and applications.
- Support data scientists, data engineers, and machine learning engineers in creating interfaces, preparing data, and building workflows.
- Advise customers throughout all project phases, from requirements definition and design through implementation and successful production deployment.
- Take responsibility for quality and project success.
- Actively contribute to developing the consulting portfolio, particularly in GenAI and large language model infrastructures.
About the company
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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Simplify's Take
What believers are saying
- H1 2026 revenue grew 4.1% to €2.959 billion, with 9.6% operating margin.
- Underlying organic growth accelerated to 5.3% in Q2 2026, lifting guidance.
- Defense, security, and space drove momentum after May 2026 acquisitions.
What critics are saying
- Sopra Steria's DWP challenge against Capita targets a 2028 trial and damages.
- The SFT program's conclusion still drags 2026 revenue by roughly two points.
- A failed UK shared-services strategy would hollow out SSCL's government franchise.
What makes Sopra Steria unique
- Sopra Steria deepens sovereign defense and space capabilities with Starion, Nexova, and Uavia.
- CIMPA plus Digital Product Simulation expands Dassault Systèmes 3DEXPERIENCE PLM reach in Europe.
- Red Hat and Curiosity partnerships position Sopra Steria for sovereign edge-AI deployments.
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Benefits
Remote Work Options
Flexible Work Hours
Health Insurance
Paid Vacation
Paid Holidays
PTO/vacation
Unlimited Paid Time Off
Flexibility in schedule
Company News
Sopra Steria has completed its acquisition of Digital Product Simulation through its CIMPA subsidiary, expanding the European technology group's product lifecycle management and digital engineering capabilities. Financial terms were not disclosed. Digital Product Simulation provides simulation and PLM solutions to industrial customers, supporting companies in digitally designing, testing and managing complex products throughout their lifecycles. The business generated approximately €12 million in revenue under IFRS during 2025 and employs over 115 engineers specialising in digital simulation and PLM systems. The acquisition strengthens Sopra Steria's ability to offer end-to-end PLM services and expands its capabilities involving Dassault Systèmes' 3DEXPERIENCE platform. The acquired team will join CIMPA, Sopra Steria's PLM-focused subsidiary. Sopra Steria expects the acquisition to enhance support for industrial companies in aviation, defence and nuclear energy sectors.
Sopra Steria has completed a €40 million share buyback programme announced in May 2026. Between 27 May and 29 July 2026, the European tech company purchased 271,471 shares at an average price of €147.35 per share. The buyback represents 1.4% of shares outstanding. The repurchased shares are intended to be retired. Sopra GMT, the group's management holding company, will ensure it does not exceed 30% of voting rights following the retirement by converting shares to bearer shares. Sopra Steria employs 51,000 people across nearly 30 countries and generated revenues of €5.6 billion in 2025. The company provides consulting, digital services and solutions to clients across Europe.
Sopra Steria reported revenue of €2,958.9 million for the first half of 2026, up 4.1% in total. Organic growth reached 3.0%, with underlying organic growth at 4.9%. The company's operating margin on business activity improved to 9.6%, compared to 9.2% in the first half of 2025. Net profit attributable to the group rose 3.0% to €146.3 million. Underlying organic growth accelerated in Q2 to 5.3%, up from 4.4% in Q1. Free cash flow stood at -€143.6 million, a slight improvement from -€145.9 million in the same period last year. Based on these results and second-half outlook, Sopra Steria revised its full-year organic revenue growth target upward whilst confirming other targets.
Sopra Steria has appointed Laura Chaubard to lead its Defence, Security and Space vertical, effective 1 September 2026. A graduate of École Polytechnique and former director general of the institution, Chaubard will join the group's executive committee. The vertical accounted for 13% of Sopra Steria's revenue in 2025 and serves armed forces, governments and critical infrastructure. The appointment comes as Europe increases defence and security spending whilst seeking strategic autonomy from non-European players. In May 2026, Sopra Steria acquired Starion and Nexova, strengthening its capabilities in space and cybersecurity. The company's subsidiary CS Group is a recognised integrator of critical defence and security systems.
Sopra Steria has extended its strategic collaboration with Red Hat to industrialise sovereign-ready embedded AI for deployment from data centres to constrained field equipment. Announced at Eurosatory, the initiative targets environments where AI is most critical, including defence systems, public services and critical infrastructure. The solution addresses the challenge of moving AI from proof of concept to reliable field operation. Red Hat provides open building blocks whilst Sopra Steria integrates, secures and operates them as a deployable system. The platform uses Red Hat OpenShift AI for model training, Red Hat Device Edge for lightweight models on field equipment, and Red Hat Edge Manager for automated maintenance across device fleets. Applications include transport fleet logistics, public terminal infrastructure, and regulated communications, enabling real-time processing whilst maintaining operational continuity during connectivity disruptions.