Specialist - Engineering/AI

Responsibilities

• Lead a cross-functional generative AI-focused software development team.
• Integrate LLM APIs into existing platforms to enhance user interactions, decision-making and automation capabilities.
• Enhance applications with agentic AI capabilities to enable autonomous decision-making and improve business workflows.
• Work collaboratively across product, data science and engineering teams to develop AI-driven features and optimise system performance.
• Utilise generative AI tools, including coding assistants such as GitHub Copilot, to accelerate development processes.
• Deploy and manage applications on cloud platforms, ensuring scalability, security and reliability.
• Stay current with advancements in LLMs, generative AI and cloud technologies, and apply relevant innovations to improve platform capability and performance.
• Lead the design and development of high‑quality, cloud‑native applications aligned to strategic technologies.
• Write clean, maintainable, secure code following SOLID principles, design patterns, and OWASP guidelines.
• Develop microservices, containerised applications, and event‑driven components.
• Implement automated testing approaches including TDD, integration testing, and CI/CD pipeline automation.
• Support SRE (site reliability engineering) practices such as observability, resilience engineering, and performance tuning.
• Work closely with Architects, Product Owners, Platform Engineers, and QA teams to ensure alignment between technical solutions and business goals.
• Liaise with 3rd‑party software partners throughout design, build, support, and maintenance cycles.
• Participate in Agile ceremonies, contributing to planning, refinement, retrospectives, and continuous improvement.
• Encourage user‑centred design, working with UX/UI colleagues to ensure intuitive, high‑quality user experiences.

Key Responsibilities

Skills, Knowledge and Expertise