Production AI Engineer - Payments & Edge

Cognizant Technology Solutions Corporation; Greater London; Hybrid; GBP 110.000 - 150.000; Vollzeit

Zusammenfassung

Cognizant Technology Solutions Corporation is seeking an AI Engineer to design, develop and deploy AI solutions into production, spanning LLMs, agentic frameworks and predictive algorithms for digital payments.

You will blend software engineering with AI expertise to build scalable, cost-efficient systems across cloud and edge environments, improving fraud detection, customer experiences and transaction processing, while championing best practices with Databricks.

Qualifikationen

• Experience building production-grade AI/ML solutions with reliability and observability.
• Hands-on data engineering to prepare data for model training and real-time inference using cloud services.
• Strong knowledge of security, scalability, and governance in AI systems.

Aufgaben

• Design end-to-end AI architectures connecting cloud services and payment platforms with reliability and resilience.
• Ingest, transform and curate data for model training and real-time inference using Azure tools.
• Develop LLM-powered and agentic solutions for customer assistance and documentation generation.
• Apply ML techniques (supervised/unsupervised/reinforcement) to payments risk, fraud, and txn optimisation.
• Build CI/CD workflows for automated testing, deployment and monitoring across hybrid infrastructure.

Kenntnisse

Azure Databricks

Azure Data Factory

Jenkins

ML/AI engineering

Edge computing

Tools

Jenkins CI/CD

Jobbeschreibung

Cognizant Technology Solutions Corporation is seeking an AI Engineer to design, develop and deploy AI solutions into production, spanning LLMs, agentic frameworks and predictive algorithms for digital payments.

You will blend software engineering with AI expertise to build scalable, cost-efficient systems across cloud and edge environments, improving fraud detection, customer experiences and transaction processing, while championing best practices with Databricks.