Sr Consultant - AI Engineer

About the role

The Data Science Innovation team is the R&D engine of the Data Science organisation — a team dedicated to exploring, prototyping, and engineering the next generation of AI-powered intelligent systems. The team operates at the intersection of classical AI research, applied engineering, machine learning, and enterprise platform delivery.

What you'll do

• Design and build AI-powered intelligent systems: applying classical AI concepts — search, planning, ranking, retrieval, reasoning, constraint satisfaction
• Develop scalable backend services, APIs, data pipelines, and orchestration layers: for AI-driven applications that are production-ready from day one
• Build and maintain search, ranking, recommendation, and knowledge management systems: that support intelligent automation and enterprise knowledge use cases
• Integrate AI capabilities with enterprise applications: including APIs, databases, document repositories, and workflow platforms, ensuring reliability, security
• Apply understanding of context management, memory systems, and human-in-the-loop patterns: to design AI systems that behave correctly and safely in production…

What you need

• Python
• SQL
• ETL
• NLP
• AWS
• LLMs
• Any graduate

Good to have

• Kafka
• Data structures
• CI/CD
• Test automation
• Java
• Microservices