At Xceedance, we are transforming the insurance industry through a powerful combination of insurance expertise, data, technology, and AI. Since our founding in 2013, we have partnered exclusively with insurers, reinsurers, brokers, MGAs, mutuals, and self-insured organizations to help them operate more efficiently, make better decisions, and deliver stronger outcomes for their customers.
This is not a startup. Today, over 5,500 professionals support more than 350 clients across 13 global locations spanning the Americas, Europe, the UK & Ireland, the Middle East, Asia, Australia, and New Zealand.
What makes Xceedance different is our technology-first approach. We combine deep industry knowledge with innovative digital solutions and AI capabilities, including IAN, our AI orchestration platform, to help clients accelerate transformation and unlock measurable business value. Our work has earned industry recognition from leading analyst firms and technology partners, reflecting our commitment to innovation and excellence.
Why Join Xceedance?
Xceedance offers the best of both worlds: the stability of a successful global organization and the energy of a company entering an exciting new phase of growth.
Backed by significant investment and a strong track record of success, we are expanding our business globally, investing heavily in AI-led transformation, and growing our presence across new insurance segments. Our ambition is bold, and so are the opportunities for talented professionals who want to make an impact.
Whether you're looking to solve complex business challenges, work with cutting-edge technology, collaborate with industry experts, or accelerate your career growth, Xceedance provides a platform to do meaningful work at scale.
If you are passionate about innovation, enjoy building for the future, and want to be part of a company shaping the next generation of insurance services, we'd love to have you on this journey.
For more information, visit
Tech Architect – with GenAI
Hybrid
Experience: 10+ years
Reports To: (Head of Engineering / Head of Delivery)
Key Responsibilities
- Lead architecture and technical design of features and services across a cloud-native platform. Python is the primary language for AI and automation services, n8n is used extensively for workflow automation, and the platform also includes Java, Angular and Camunda.
- Build and own Python services for AI capabilities, including LLM integration, data processing and APIs, with an emphasis on clean, testable, production-grade code.
- Design and build GenAI capabilities into insurance workflows and expose them as reusable services and APIs.
- Architect AI features that are reliable and safe by design: structured outputs, grounding, guardrails, human-in-the-loop review, and a clear separation between AI-driven and deterministic logic.
- Design and build automation flows in n8n, including custom nodes, AI-enabled workflows, error handling and cross-system integrations, and combine them with Camunda (BPMN/DMN) where long-running or governed process orchestration is needed.
- Bring observability and cost awareness to AI workloads, including tracing, usage and performance monitoring, and evaluation of model outputs.
- Own complex features end to end, from requirements and design through build, release and production support.
- Champion AI-driven SDLC practices, including AI-assisted coding, code review, test generation, documentation and debugging, and define team standards for using them responsibly.
- Stay hands-on: contribute production-quality code, lead design and code reviews, and unblock the team on complex technical problems.
- Contribute to architecture governance through clear design decisions, documented trade-offs and reusable patterns.
- Evaluate and select models, frameworks and GenAI services based on fit, cost, latency and maintainability.
- Work with product managers, engineers, QA and business teams to break ambiguous problems into well-scoped, deliverable increments.
- Serve as the technical point of contact for stakeholders and clients, supporting solution discussions and managing expectations on scope, timelines and risk.
- Mentor and grow engineers, setting the bar for engineering quality, ownership and delivery discipline.
- Ensure data privacy, compliance, security and scalability standards are upheld in every solution.
Required Skills & Experience
- 10+ years in software development and architecture, with a strong track record in system design and enterprise product delivery.
- Strong, hands-on Python expertise building production backend and AI services, including frameworks such as FastAPI, async processing, data handling, and testing practices.
- Substantial hands-on experience with n8n: designing complex workflows, building custom nodes or integrations, self-hosting and operating it at scale, and integrating it with APIs, LLMs and enterprise systems.
- Working experience across the wider stack, including Java (Spring Boot or similar), Angular, and Camunda, enough to design across it and contribute where needed.
- Proven experience owning features end to end in a complex product, including design, implementation, testing, deployment and post-release support.
- Practical GenAI engineering experience: consuming LLM APIs, prompt and output-schema design, RAG, evaluation, and building AI features with sensible guardrails.
- Experience designing multi-step or agentic LLM workflows, with good judgement on where to keep processing deterministic.
- Proficiency with AI-driven SDLC tooling (e.g. Claude Code, GitHub Copilot, Cursor) and a clear view on where AI accelerates delivery and where human oversight is essential.
- Strong understanding of REST and event-driven API design, microservices, and cloud infrastructure (Azure preferred; AWS/GCP considered).
- Experience delivering in Agile teams, including estimation, sprint planning and managing delivery risk.
- Ability to produce clear technical documentation, architecture diagrams, decision records and engineering playbooks.
- Strong stakeholder management and communication skills.
Preferred Qualifications
- Insurance domain experience (strongly preferred), such as underwriting, submission intake, claims, policy administration or financial operations, plus exposure to GenAI use cases like submission processing, risk summarisation or broker email parsing.
- Experience designing BPMN/DMN-based workflows in Camunda (7 or 8) and deciding when to use Camunda versus lighter-weight automation tools.
- Familiarity with vector databases, RAG pipelines and agentic workflow patterns.
- Awareness of LLM security concerns such as prompt injection and data leakage.
- Exposure to CI/CD, containerisation (Docker/Kubernetes) and observability tooling, including LLM observability.
- Experience with multi-tenant SaaS and enterprise deployments.
- Prior experience leading cross-functional engineering teams and mentoring senior engineers.
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Technical Architect in London employer: XCEEDANCE LIMITED
Xceedance is an exceptional employer that fosters a collaborative and innovation-driven culture, providing employees with the opportunity to work on cutting-edge technologies in the insurance industry. Located in London, the company offers competitive compensation, professional development opportunities, and a supportive environment that encourages growth and learning, making it an ideal place for those looking to make a meaningful impact in their careers.
