Principal Software Engineer

1 day ago

Belfast, United KingdomStaff+

Responsibilities

Define and lead AI strategy for the Integrated engineering organisation.
Identify, prioritise, and validate AI opportunities across product experiences, engineering workflows, developer productivity, quality engineering, operations, support, platforms, knowledge management, and partner ecosystems.
Improve engineering effectiveness through applied AI, automation, simplification, modern tooling, and continuous improvement.
Champion responsible and secure AI adoption covering privacy, reliability, explainability, observability, regulatory expectations, and ethical use.
Establish AI engineering standards, reusable patterns, reference architectures, evaluation approaches, knowledge-sharing forums, and mentoring practices.
Coach and mentor engineers on AI-first thinking while maintaining quality, reliability, customer focus, and strong engineering discipline.
Promote observable, testable, reliable, and supportable AI-enabled engineering outcomes.
Collaborate with Operations, DevOps, Security, and Compliance teams to expand organisational AI maturity.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
Strong hands-on engineering background building, deploying, and scaling production-ready software applications and AI-powered products.
Exceptional communication, stakeholder management, storytelling, analytical, problem-solving, and organisational skills.
Experience implementing AI/ML operational practices, including automation, data governance, continuous integration/continuous deployment, or real-time data processing solutions.
Understanding of responsible AI practices including governance, security, privacy, risk assessment, testing, monitoring, human oversight, auditability, and safe enterprise adoption.
Hands-on experience resolving performance and scalability issues across distributed application architectures and databases.
Understanding of database design and development, design patterns, refactoring, object-oriented design, and modern software development practices.
Experience creating web services with SOAP and RESTful endpoints and authentication schemes.
Experience working in Agile Scrum or Lean Kanban environments.
Preferred experience includes payments domain expertise and work with Natural Language Processing, conversational AI agents, or large language model application development frameworks.
Knowledge of cloud and data platforms.

SOAP