AI Solution Architect

Responsibilities

• Design AI-native and cloud-native architectures integrating LLMs, GenAI, RAG, and vector databases
• Identify and prioritize high-ROI AI use cases such as copilots and automation
• Advise clients on AI strategy, roadmaps, and governance
• Implement MLOps, LLMOps, and AIOps pipelines
• Design secure architectures including prompt management, guardrails, and monitoring
• Integrate AI into existing information systems via APIs, middleware, and ERP/CRM
• Contribute to internal GenAI offers and reusable architecture patterns

Requirements

• 5 to 10 years of experience in architecture, data, or cloud
• Concrete experience in AI, data, or GenAI projects
• Proficiency in SI and cloud architecture (Azure, AWS, or GCP)
• Expertise in GenAI and LLM technologies (RAG, agents, orchestration)
• Knowledge of data engineering and data platforms
• Experience with APIs, microservices, and integration
• Skills in MLOps/LLMOps and AI industrialization

Preferred Qualifications

• Experience with business copilots and AI agents
• Proven track record of deploying GenAI solutions at scale
• Understanding of LLM costs, security, and compliance (GDPR, AI Act)
• Sensitivity to product and UX for AI solutions

About the Company

Sopra Steria is a major player in European Tech, with 50,000 employees across nearly 30 countries, providing consulting, services, and digital solutions to drive digital transformation.