Solution Architect - Insurance Transformation / Toronto, ON (Hybrid) - FTE
About the role
Role - Solution Architect - Insurance Transformation Location - Toronto, ON (Hybrid) Experience - 10+ years Type - Full Time Permanent
Role Summary: We are seeking a Solution Architect with strong experience in insurance transformation programs, particularly across underwriting, quoting/rating, and billing business functions. The role requires the ability to shape end-to-end solution architecture across legacy and modern platforms, work effectively with COTS products, and identify opportunities to leverage GenAI / LLM capabilities responsibly to improve business and IT outcomes.
Key Responsibilities • Lead solution architecture for transformation initiatives spanning underwriting, quoting/rating, billing, and adjacent insurance processes. • Translate business strategy and functional requirements into scalable, secure, supportable, and integration-ready solution designs. • Evaluate, select, and integrate COTS / SaaS platforms with enterprise applications, data platforms, workflow tools, and legacy systems. • Define target-state architecture, integration patterns, API strategies, data flows, security controls, and non-functional requirements. • Collaborate with business stakeholders, product owners, engineering teams, vendors, and enterprise architects to align solution decisions. • Assess current-state application landscape and create modernization roadmaps, transition states, and implementation blueprints. • Drive architecture governance, design reviews, technology risk assessment, and adherence to enterprise standards. • Identify practical use cases for GenAI / LLMs such as agent assist, document summarization, knowledge retrieval, underwriting support, and service productivity. • Support estimation, implementation planning, vendor coordination, and issue resolution throughout solution delivery. • Produce architecture artifacts including solution diagrams, integration maps, decision logs, interface specifications, and deployment viewpoints.
Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline. • Hands-on experience architecting insurance solutions in areas such as underwriting, quoting/rating, billing, policy administration, or claims adjacencies. • Strong understanding of COTS product implementation, configuration-driven solutions, and vendor package integration. • Experience with application integration patterns, APIs, middleware, event-driven architectures, data mapping, and enterprise security considerations. • Solid understanding of cloud, distributed systems, microservices, data architecture, and system interoperability. • Ability to communicate architecture decisions clearly to business, delivery, and executive stakeholders. • Experience in documenting solution options, trade-offs, assumptions, risks, and recommendations. • Exposure to GenAI / LLM concepts, enterprise use cases, governance, risk, and implementation considerations.
Preferred Skills • Exposure to policy administration platforms, rating engines, billing platforms, workflow / BPM tools, CRM, and document management solutions. • Knowledge of insurance data models, product configuration, pricing, rules engines, and regulatory / audit considerations. • Familiarity with Azure / AWS / GCP, API gateways, identity and access management, and observability practices. • Working knowledge of data privacy, responsible AI, model security, prompt patterns, retrieval augmented generation, and AI operating models. • Certification(s) in architecture, cloud, TOGAF, or insurance platforms are advantageous.
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Solution Architect - Insurance Transformation / Toronto, ON (Hybrid) - FTE
About the role
Role - Solution Architect - Insurance Transformation Location - Toronto, ON (Hybrid) Experience - 10+ years Type - Full Time Permanent
Role Summary: We are seeking a Solution Architect with strong experience in insurance transformation programs, particularly across underwriting, quoting/rating, and billing business functions. The role requires the ability to shape end-to-end solution architecture across legacy and modern platforms, work effectively with COTS products, and identify opportunities to leverage GenAI / LLM capabilities responsibly to improve business and IT outcomes.
Key Responsibilities • Lead solution architecture for transformation initiatives spanning underwriting, quoting/rating, billing, and adjacent insurance processes. • Translate business strategy and functional requirements into scalable, secure, supportable, and integration-ready solution designs. • Evaluate, select, and integrate COTS / SaaS platforms with enterprise applications, data platforms, workflow tools, and legacy systems. • Define target-state architecture, integration patterns, API strategies, data flows, security controls, and non-functional requirements. • Collaborate with business stakeholders, product owners, engineering teams, vendors, and enterprise architects to align solution decisions. • Assess current-state application landscape and create modernization roadmaps, transition states, and implementation blueprints. • Drive architecture governance, design reviews, technology risk assessment, and adherence to enterprise standards. • Identify practical use cases for GenAI / LLMs such as agent assist, document summarization, knowledge retrieval, underwriting support, and service productivity. • Support estimation, implementation planning, vendor coordination, and issue resolution throughout solution delivery. • Produce architecture artifacts including solution diagrams, integration maps, decision logs, interface specifications, and deployment viewpoints.
Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline. • Hands-on experience architecting insurance solutions in areas such as underwriting, quoting/rating, billing, policy administration, or claims adjacencies. • Strong understanding of COTS product implementation, configuration-driven solutions, and vendor package integration. • Experience with application integration patterns, APIs, middleware, event-driven architectures, data mapping, and enterprise security considerations. • Solid understanding of cloud, distributed systems, microservices, data architecture, and system interoperability. • Ability to communicate architecture decisions clearly to business, delivery, and executive stakeholders. • Experience in documenting solution options, trade-offs, assumptions, risks, and recommendations. • Exposure to GenAI / LLM concepts, enterprise use cases, governance, risk, and implementation considerations.
Preferred Skills • Exposure to policy administration platforms, rating engines, billing platforms, workflow / BPM tools, CRM, and document management solutions. • Knowledge of insurance data models, product configuration, pricing, rules engines, and regulatory / audit considerations. • Familiarity with Azure / AWS / GCP, API gateways, identity and access management, and observability practices. • Working knowledge of data privacy, responsible AI, model security, prompt patterns, retrieval augmented generation, and AI operating models. • Certification(s) in architecture, cloud, TOGAF, or insurance platforms are advantageous.