Lead Professional Services _ Technical Implementation – Insurance & AI

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 needsinto solutions. Translate requirementsinto 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 fortimelines, 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.
• Nice to have: familiarity with Claude Code, GitHub Copilot and other AI-assisted development
tools.