AI Engineer

Ready to move beyond experiments and build AI that performs in the real world? We’re looking for an AI Engineer to design, develop and bring intelligent solutions into production-from large language models (LLMs) and agentic frameworks to predictive algorithms.

You’ll combine strong software engineering with deep AI expertise to build scalable, cost-efficient and reliable systems for digital payments. Working across cloud and edge environments, you’ll help improve fraud detection, customer experiences and transaction processing, while championing best-practice use of Databricks.

Why this opportunity stands out

Bring together architecture, hands-on engineering and real-world impact. You’ll tackle demanding payments challenges, turn emerging AI techniques into practical capabilities, and share your expertise to help the wider team deliver better solutions.

What you’ll do

· Design AI from end to end: build autonomous edge AI architectures connecting cloud services and payment platforms, with security, availability and resilience built in.

· Build the data foundations: use Azure Data Factory and Azure Databricks to ingest, transform and curate structured and unstructured payment data for model training and real-time inference.

· Turn generative AI into useful products: develop LLM-powered and agentic solutions for customer assistance, anomaly explanation and documentation generation.

· Apply machine learning to payments: use supervised, unsupervised and reinforcement learning to develop predictive and prescriptive capabilities for risk management, fraud detection and transaction optimisation.

· Engineer for production: build Jenkins CI/CD workflows for automated testing, deployment and monitoring across hybrid infrastructure; optimise edge inference for low latency and high throughput.

· Prove and monitor performance: run experiments, historical-data backtesting and A/B evaluations to assess fraud reduction, customer satisfaction and process efficiency. Implement logging and observability to identify model drift, data-quality issues and operational incidents.

· Build responsibly: partner with payments experts, product managers, data, cybersecurity and compliance teams to translate business requirements into scalable solutions, embedding encryption, access controls, privacy, explainability and auditability.

· Strengthen the team: document architectures, data models, pipelines and operational processes; mentor colleagues in Azure Databricks, Azure Data Factory, Jenkins and AI engineering practices.

· Keep improving: evaluate emerging generative AI, edge inference and MLOps approaches, recommending practical enhancements that improve resilience, business value and trust in digital payments.

What you’ll bring

· Strong hands-on experience designing, developing and operating production-grade AI and ML solutions, with a focus on reliability, scalability, observability and maintainability.

· Extensive experience with Azure Databricks and Azure Data Factory, spanning large-scale data engineering, model development and production operations.

· Practical proficiency in Jenkins for CI/CD pipelines, automated testing and safe, repeatable releases across hybrid environments.

· A deep understanding of feature engineering, model selection, hyperparameter tuning and evaluation metrics, applied to payments risk and fraud use cases.

· Proven experience building generative AI applications, including conversational agents or content-generation tools integrated with payment platforms, with attention to accuracy, explainability and responsible data use.

· Solid payments-domain knowledge, including transaction flows, settlement, chargebacks, fraud patterns and regulatory considerations.

· Clear communication and structured documentation skills, with experience collaborating across distributed teams and hybrid environments during day-shift operations.

Ready to build what’s next?

If you enjoy turning ambitious AI ideas into dependable software-and want to apply your expertise to meaningful payments challenges-we’d love to hear from you. Get in touch and tell us about the AI solutions you’ve taken into production.