Insurance Solutions Architect

We are seeking an experienced Commercial Insurance Solutions Architect (Principal Consultant) to lead the architecture and technical delivery of modern digital insurance applications. This is a hands-on architecture role requiring a strong blend of solution design, technical leadership, software engineering expertise, and practical experience leveraging AI to accelerate application development and delivery.

As the Solution Architect, you will define end-to-end solution architecture, guide development teams, and help rapidly design and build scalable Insurance applications. You will work closely with business stakeholders, product owners, engineering teams, and enterprise architects to modernize and transform the insurance technology landscape.

A key part of the role will be identifying practical opportunities to leverage AI across Commercial Insurance solutions and throughout the software development lifecycle, while ensuring appropriate security, governance, and responsible AI practices.

• →Define and own end-to-end architecture for Insurance applications, aligned with business and enterprise architecture objectives.
• →Provide technical leadership and hands-on support to engineering teams from design through delivery.
• →Design modern microservices, APIs, cloud-native integrations, and scalable digital platforms.
• →Leverage Generative AI and AI-assisted development to accelerate solution design, prototyping, development, testing, and delivery.
• →Identify opportunities to embed AI into Insurance workflows and applications.
• →Partner with business and technology stakeholders to translate complex insurance requirements into scalable technical solutions.
• →Ensure solutions meet enterprise standards for security, data privacy, responsible AI, and governance.

• 10+ years of experience in solution architecture, software engineering, or technical leadership.
• Strong Insurance domain experience, with an understanding of areas such as quoting, underwriting, policy administration, distribution/broker workflows, and servicing.
• Expertise in microservices, distributed systems, API-first architectures, cloud-native applications, and modern integration patterns.
• Hands-on experience with Generative AI, LLMs, AI-assisted development, or integrating AI capabilities into enterprise applications.
• Strong understanding of enterprise architecture, integration, and the Software Development Life Cycle (SDLC).
• Excellent consulting, stakeholder management, and communication skills.

• Experience delivering Commercial Insurance digital transformation, PoCs, or product accelerators.
• Experience with GenAI/LLM solutions, RAG, AI agents, model APIs, or enterprise AI platforms.
• Understanding of Responsible AI, data privacy, security, and governance within regulated environments.
• Experience with Azure, AWS, or Google Cloud, including AI/GenAI services.
• Hands-on development experience with Java, Spring Boot, microservices, APIs, Python, or modern AI development frameworks.
• Consulting experience within Financial Services or Insurance mainly commercial insurance.

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.