Our client, a growing maritime technology and defence business, is seeking an AI Engineer to help design, develop and deploy secure AI capabilities across the organisation. This role will focus on practical AI adoption across Engineering, Production, Manufacturing, IT & Security and wider corporate functions improving productivity, decision-making, access to information and operational efficiency.
The role
- Design, deploy and support secure AI applications, agents, assistants, knowledge systems and workflow automations across Microsoft, cloud and on-premise platforms.
- Develop RAG, semantic search and MCP solutions, integrating AI securely with business systems, databases, documents and APIs.
- Implement and maintain AI security controls including authentication, RBAC, least-privilege access, audit logging, input validation and approval workflows.
- Evaluate AI platforms, models and suppliers, ensuring solutions meet security, privacy, performance, compliance and supportability requirements.
- Define and uphold AI governance, risk frameworks and secure-by-design standards, including encryption, secrets management and environment segregation.
- Identify, monitor and mitigate AI-related threats such as data leakage, prompt injection, insecure outputs and excessive agent permissions.
- Deploy and manage AI services across Linux, containerised and virtualised environments, while supporting integrations, monitoring, patching, backup and recovery.
What we’re looking for
- Practical experience designing, developing, deploying or supporting AI-enabled applications, integrations and workflow automations
- Working knowledge of LLMs, RAG, semantic search, AI agents and Model Context Protocol
- Experience deploying and operating applications across Linux systems, containers and virtual machines
- Experience of monitoring, patching, backup and recovery within application environments
- Experience working with APIs, structured data, system integrations, authentication and role-based access control
- Familiarity with source control and automation/scripting
- Understanding of secure development, AI governance, information security, data protection, auditability and responsible AI principles
- Strong analytical/troubleshooting skills with clear communication and documentation
- 25 days holiday per year, plus paid bank holidays
- Additional annual leave after 2 years’ service (up to 5 extra days)
- Holiday buy/sell (up to 5 days per calendar year)
- Flexi working (core hours 10:00–15:00, subject to departmental requirements)
- Private Medical Insurance (optional family cover)
Artificial Intelligence Engineer employer: Gattaca
Join a leading technology business in Central London as a Customer Success Manager, where you'll thrive in a dynamic and innovative environment. With a strong focus on employee growth, the company offers excellent training opportunities and a collaborative work culture that values your input and fosters professional development. Enjoy the unique advantage of working in a vibrant city, surrounded by like-minded professionals, while making a meaningful impact on customer success and satisfaction.
