Senior AI Engineer

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Sopra Steria

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏢 Enterprise

🏛️ Government

Consulting • Enterprise • Government

Sopra Steria is a multinational IT services and consulting company that delivers consulting, digital services, and software development to help clients drive digital transformation. The UK business comprises five brands including Sopra Steria Ltd (consulting, digital services, software development), NHS Shared Business Services (corporate services for the NHS), Shared Services Connected Ltd (business-critical support for UK Government departments and defence), Sopra Steria Next (consulting arm focusing on next-generation technology and data-driven insight), and Sopra Steria Financial Services (debt management and financial services). They work with public sector and financial services clients, delivering services crucial to public and health services, financial services improvements, and government support. Known for collaborative approach and focus on sustainable growth and social impact.

📋 Description

• Contributing to the development and delivery of AI solutions and AI agents, ensuring outcomes meet time, cost and quality expectations. • Designing, building and improving autonomous and conversational agents using modern AI and agent-based architectures. • Applying robust engineering practices to reduce technical risk and manage technical debt in AI and agent-based systems. • Exploring and applying emerging AI technologies, frameworks and best practices to deliver innovative solutions. • Supporting the deployment of scalable and reliable AI solutions using cloud-native engineering approaches. • Sharing knowledge, mentoring colleagues and contributing positively to the wider AI Engineering community.

🎯 Requirements

• A strong understanding of AI, machine learning and agent-based AI concepts, including Retrieval Augmented Generation (RAG), multi-agent systems and conversational agents. • Experience developing AI solutions using programming languages such as Python, or similar languages used in AI engineering. • Hands-on experience with AI and agent frameworks such as Microsoft Copilot, Copilot Studio, Autogen Agents, Amazon Q, LangChain, LangGraph or similar platforms. • The ability to analyse, evaluate and optimise agent behaviour and AI system performance. • Experience delivering solutions using cloud platforms and cloud-native delivery techniques. • Experience measuring, validating and proving the effectiveness of AI systems in real-world environments. • Exposure to low-code or no-code automation and orchestration tools used alongside AI solutions. • Experience working in secure or regulated environments.

🏖️ Benefits

• 25 days annual leave with the choice to buy additional days • health cash plan • life assurance • pension • flexible working arrangements • training and development opportunities