Ingeniero de IA

Driving the integration of advanced AI capabilities within an established enterprise platform, the AI Engineer will be instrumental in delivering scalable, secure and performant solutions built around cutting-edge large language models. This role exists to bridge the gap between AI research and practical application, enabling the seamless embedding of intelligent agents and AI-driven workflows that enhance decision-making and operational efficiency across diverse university functions. Working at the intersection of product development, engineering and cybersecurity, the successful candidate will contribute directly to transforming how information and data are harnessed within critical research and financial areas.

The core purpose of this role is to take innovative AI concepts from initial prototypes through to fully operational production systems that interface smoothly with existing enterprise infrastructure. This involves developing, testing and deploying AI-driven applications and agents that rely on large language models, with a strong focus on reliability, accuracy and ongoing performance optimisation. The AI Engineer will be expected to structure solutions that integrate APIs and various data sources effectively, constructing resilient workflows that incorporate necessary validation and human oversight. By enabling these smart, automated processes, the role supports efficiency improvements and strengthens data governance across multiple faculties.

On a day-to-day basis, the AI Engineer will collaborate closely with colleagues across product teams, engineering groups and cybersecurity specialists to ensure that AI solutions not only meet business requirements but also comply with stringent security standards for sensitive data. The work involves hands-on software engineering including designing, coding and testing AI applications deployed predominantly on cloud-based platforms such as Google Cloud Platform (GCP). Monitoring production environments and refining models or system interfaces to enhance stability and output quality will be key ongoing activities.

The technical environment for this position is highly modern and cloud-centric, with an emphasis on Google Cloud infrastructure to host AI workloads. Practical experience with large language model frameworks and API integrations is crucial, as the role demands familiarity with both developing new ML-powered features and embedding those capabilities within existing enterprise ecosystems. The security dimension is prominent: solutions must be resilient and incorporate validation steps alongside human-in-the-loop controls to mitigate risks associated with AI-driven automation.

This is a six-month contract role designed to be performed in a hybrid working arrangement, with the successful candidate onsite three days per week. Flexible start and finish times between 8 am and 6 pm allow for a balanced schedule. The position is located within a university environment focused on education management and public sector priorities, where delivering innovative AI solutions supports the broader mission of research excellence and operational robustness.

The ideal AI Engineer will possess strong software engineering skills, demonstrated through hands-on experience in building AI applications that combine API integrations and cloud deployment. They should be comfortable working in collaborative, multidisciplinary teams and possess the technical acumen to navigate complex, secure enterprise systems. Proven ability to take AI prototypes into production, alongside experience with Google Cloud Platform, will be highly valued.

Key technical competencies include:
- Building and deploying AI-powered applications utilising large language models
- Integration of APIs and multiple enterprise data sources
- Use of cloud platforms, particularly Google Cloud Platform (GCP), for scalable and secure solutions
- Developing workflows that include validation, security checks and human oversight
- Performance testing and ongoing solution improvement in production settings

As the AI Engineer contributes to a pipeline of projects focused on connecting financial and research systems, the role plays a vital part in enabling data-driven insights and automated intelligence across the university. This not only elevates operational delivery but also supports strategic initiatives aimed at modernising core capabilities through responsible AI adoption.

This role offers an opportunity to work within an environment that fosters specialist expertise in AI and machine learning, aligned with key enterprise systems. It is suitable for candidates who thrive on solving complex problems and deploying innovative technology in a context where robust security and reliable operation are paramount.

The position sits within the education management industry, public sector grouping, reflecting the broader sector focus of the organisation where this AI capability will be applied.