Solution Architect
$140,000–$160,000 year
On-siteNew York, United States
Job Summary
Design secure, scalable, cloud-native solutions on Microsoft Azure spanning infrastructure, PaaS, networking, identity, and security. Architect performant data pipelines, models, and governance for large volumes of reinsurance placement, exposure, claims, and market data. Build proofs of concept and prototypes to validate designs, while defining and governing third-party integrations using API-first, event-driven, and secure data-exchange patterns. Embed security and compliance into designs from the outset, covering zero-trust principles, authentication, and data residency. Work closely with in-house and partner engineers to set engineering standards, guide implementation, and produce high-quality solution designs and architecture artefacts for the Architecture Review Board. Promote the adoption of AI-assisted engineering tools and practices across the delivery lifecycle.
Required Qualifications
- 10+ years of experience
- grounded in hands-on software engineering
- progressing into solution architecture over the last 4+ years
- designed data-intensive systems
- helped build data-intensive systems
- ideally in insurance, reinsurance or wider financial services
- Current, practical programming skills
- ideally in C#/.NET or Python
- strong SQL
- working knowledge of modern UI frameworks such as React or Angular with TypeScript
- hands-on experience with infrastructure-as-code (Terraform)
- AzureDevops
- Deep expertise in Azure infrastructure and platform services
- including networking, security, identity, compute and integration services
- hands-on experience of CI/CD tooling such as Azure DevOps or GitHub Actions
- Depth across architectural patterns
- microservices
- event-driven
- API-led
- lakehouse/medallion
- domain-driven design
- good judgement on when to apply each
- A strong track record architecting data-intensive solutions
- handling large data volumes
- experience across cloud data platforms
- data pipelines
- SQL-based technologies
- Strong integration experience across external systems
- including REST APIs
- messaging and event-driven architectures
- secure file and data exchange
- experience using canonical data models
- anti-corruption layers
- Strong grounding in security architecture
- including authentication and authorisation patterns
- OAuth 2.0
- OIDC
- Microsoft Entra ID
- RBAC
- zero-trust principles
- designing for compliance in regulated financial services
- data privacy
- cross-border data residency
- audit requirements
Desired Qualifications
- Experience designing agentic or AI-enabled solutions
- including patterns such as retrieval-augmented generation
- tool and API integration
- evaluation and human-in-the-loop design
- Familiarity with AI-assisted engineering tools such as Claude Code or Claude Cowork
- Excellent communication skills
- Ability to translate complex business requirements into pragmatic technical designs
- ability to influence stakeholders at all levels
- Experience in insurance, reinsurance or wider financial services
- Experience building with LLMs and AI-enabled solutions
- a clear appetite to learn
- Familiarity with agentic patterns
- prompt design
- evaluation
- Fluency in test-driven development
- automated testing
- an eye for maintainable design
- good judgement about when to keep things simple
- Ability to work closely with product stakeholders and delivery partners
- explain technical trade-offs clearly
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