Senior AI Engineer

As a Senior Applied AI Engineer, you will lead the development and productionisation of enterprise AI products and platform services within a central AI Engineering function. You’ll design end-to-end solutions, collaborating with Percepta and other teams to deliver reusable, governed capabilities that support multiple business areas. You’ll own incidents, improvements, and the lifecycle of live systems, shaping how the team works and establishing engineering standards. This role combines hands-on technical delivery with mentorship in a fast-moving AI governance environment.

• Generous holiday policies
• Health and wellbeing benefits
• Volunteer time
• Professional development and tuition reimbursement
• Parental leave
• Lunch allowance and onsite catering

• Build and run our AI products and platform, taking workstreams from design to live operation
• Create reusable components, libraries, and connectors from proven capabilities
• Implement infrastructure as code, CI/CD, and clear ownership/controls for production services
• Investigate incidents, drive recovery, and fix root causes as part of production support
• Engineer agentic workloads including prompts, tool use, memory, and human-in-the-loop controls
• Develop data-ready, governed views and connectors over Snowflake and enterprise platforms
• Own end-to-end business-area applications on the AI stack and drive SaaS decommissioning where appropriate
• Develop evaluation, observability, and control into all releases and align with governance and security standards

• Six+ years in software, data, or platform engineering with production experience
• Production experience with LLM applications and agentic systems
• Strong Python and SQL skills
• Hands-on experience building agentic capabilities (MCP servers, tools, or connectors)
• Azure cloud experience with containers/serverless, IaC, CI/CD, identity, RBAC, secrets management
• Experience owning production services including monitoring and lifecycle management
• Good judgment in regulated environments translating security, privacy, risk, and audits into controls
• Experience mentoring engineers and leading technical work without formal authority

• Mentoring and guiding engineers
• Clear communicator with stakeholders and control functions
• Strong collaboration with cross-functional teams
• Python
• SQL
• LLMs and agent frameworks