Artificial Intelligence Engineer
Xebia
Description
About the Role
We are seeking a highly skilled and experienced Senior AI Engineer / Technical Lead to join our growing AI & Digital Innovation team. The successful candidate will play a central role in the design and development of enterprise-grade AI solutions, with a focus on building scalable, extensible platforms that support both conversational and transactional AI capabilities across multiple business functions.
This is a hands-on technical role suited to an engineer who combines deep AI implementation experience with the ability to lead technically, influence architecture decisions, and collaborate effectively with cross-functional teams. The ideal candidate is passionate about applied AI, has a strong engineering foundation, and has demonstrated experience delivering AI solutions in complex enterprise environments.
Key Responsibilities
AI Solution Design & Development
- Design, develop, and maintain scalable AI solutions that support both conversational (chat-based) and transactional business functions
- Contribute to the architecture of AI platforms that are modular and extensible, enabling adoption across multiple business units with varying requirements
- Evaluate and recommend appropriate AI tools, models, frameworks, and platforms based on use case requirements and organisational standards
- Implement orchestration patterns that coordinate AI agents, models, and workflows in a coherent and reliable manner
AI Integration & Engineering
- Build and maintain integrations between AI components and enterprise systems including CRM, ERP, document management, HR platforms, and communication tools
- Design and implement APIs and integration patterns that enable seamless connectivity between AI capabilities and consuming applications
- Implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and multi-model coordination patterns based on solution requirements
- Ensure AI solutions are engineered for performance, reliability, and maintainability in production environments
Conversational & Transactional AI
- Develop conversational AI capabilities including intelligent chatbots, virtual assistants, and LLM-powered dialogue systems
- Build transactional AI functions that automate or augment business processes such as document processing, data retrieval, approvals, and workflow automation
- Support the design of solutions that handle both real-time and batch AI processing depending on the nature of the business use case
Governance, Security & Responsible AI
- Apply responsible AI principles throughout the development lifecycle including fairness, transparency, explainability, and data privacy
- Adhere to and contribute to AI governance practices covering model versioning, monitoring, and auditability
- Ensure AI solutions are built in compliance with organisational security policies, data handling standards, and relevant regulatory requirements
- Collaborate with the Information Security team to embed appropriate controls within AI solution design
Technical Leadership & Collaboration
- Serve as a technical lead within the AI team, providing guidance and mentorship to junior engineers and developers
- Work closely with solution architects, business analysts, and product owners to translate business requirements into sound technical designs
- Participate in design reviews, technical discussions, and proof-of-concept evaluations
- Contribute to the development of internal standards, engineering guidelines, and reusable AI components
- Stay current with advancements in the AI space and proactively identify opportunities to apply emerging capabilities within the organisation
Required Qualifications & Experience
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical discipline
**Experience