Aqovia

Artificial Intelligence

• Design, code, and deploy custom AI agents, LLM pipelines, and system integrations from scratch
• Build sales automation tools for lead generation, personalized outreach, and pipeline tracking
• Automate finance processes including timesheet reconciliation, invoicing checks, and P&L reporting
• Develop talent and web sourcing pipelines, content engines, and design automations
• Map internal workflows and prioritize high-ROI projects with the CEO
• Measure operational time savings
• Establish the technical foundation to hire, mentor, and lead an AI team as the function grows
• Deliver measurable hours and cost savings across departments
• Push working AI proofs of concept into production quickly
• Contribute directly to margin expansion and sales support

Senior AI Transformation Lead

• Lead Aqovia’s overarching AI strategy, including vision, execution, and commercial impact
• Analyse internal operational pain points and deploy AI solutions such as LLM workflows, autonomous agents, and predictive models
• Remove manual processes across corporate functions to improve operational efficiency
• Design AI tools for project costing, sales pipeline tracking, margin management, invoicing, billing, and timesheets
• Partner with enterprise clients to diagnose organisational challenges and demonstrate AI solutions
• Advise and participate in C-suite sales conversations as the technical and strategic AI expert
• Architect reusable AI frameworks, proofs of concept, and deployment roadmaps
• Support client conversion and revenue generation through AI-driven solutions and pitches
• Test prompts, build agentic flows, and validate technical feasibility
• Track internal expenses and drive revenue growth
• Deliver measurable improvements in operational ROI, client conversion, deployment speed, and project margins

Principal AI Solution Expert

Data Engineer

• Design, build, and maintain back-end services, RESTful APIs, and microservices using C#, .NET, and NodeJS
• Develop data pipelines and MS SQL database schemas
• Implement enterprise ETL/ELT processes
• Connect back-end applications to event-driven architectures using RabbitMQ or Azure Service Bus
• Use modern AI tooling to streamline workflows
• Automate deployments via CI/CD
• Monitor application health

Senior AI Transformation Lead

Principal AI Solution Expert

Software Engineer, Data Engineering, C# .NET