About the role :

Lead the implementation and deployment of our AI-powered insurance product for enterprise clients. This is a client-facing, technically hands-on role : you will understand each client's business and technical needs, configure the product, manage integrations and rollouts, and work with Product, Engineering, QA and DevOps to deliver successful go-lives.

What you will do :

- Lead implementations : Own the full implementation and deployment of our insurance product for enterprise clients, from kickoff to go-live.

- Understand the client : Work directly with client teams to learn their business processes, technical landscape, integration needs and goals.

- Turn needs into solutions : Translate requirements into practical product configurations and technical designs.

- Configure the product : Set up workflows, business rules, AI capabilities and integrations around each client's use cases.

- Handle integrations : Work with client technical teams on APIs, authentication, data flows and deployment requirements.

- Resolve issues : Troubleshoot application, integration, configuration and deployment problems and see them through to closure.

- Partner internally : Work with Engineering and Product to close product gaps and clear implementation roadblocks.

- Carry through to production : Support UAT, production release, go-live and post-launch stabilisation.

- Engage clients : Run technical discussions, solution walkthroughs, demos and knowledge-transfer sessions.

- Own delivery : Be accountable for timelines, technical risks, dependencies and commitments.

- Build the team : Mentor implementation engineers and establish reusable implementation practices.

What you will bring :

- Core engineering : hands-on Python, REST APIs, JSON and PostgreSQL.

- Cloud and delivery : Microsoft Azure, cloud deployments, CI/CD, Git, Docker, and Azure DevOps and GitHub Actions.

- Architecture and operations : understanding of application architecture, integrations, logging, monitoring and troubleshooting.

- GenAI knowledge : LLMs, agentic AI, RAG, AI agents and AI-powered document processing.

- AI platforms : exposure to Microsoft Foundry, Azure OpenAI, Microsoft Agent Framework, Anthropic Claude or similar.

Experience :

- 6 - 10 years in professional services, technical implementation, solution engineering, technical consulting or enterprise software delivery.

- Client delivery : experience implementing enterprise products for external clients.

- People skills : strong stakeholder management and the ability to explain technical ideas clearly to both technical and business audiences.

- Problem solving : strong troubleshooting and technical analysis.

- Nice to have : insurance domain experience, familiarity with Claude Code, GitHub Copilot and other AI-assisted development tools.