Job Description

The DevEx Strategy team creates the foundations and guardrails that let product and application teams move fast and safely. We design and maintain reusable starter kits, service and UI templates, runtime libraries, and the integration frameworks teams depend on. Our mission is to remove duplication, standardize best practices, and provide a plug-and-play approach for enabling capabilities — including AI — across AntiFraudAnalytics.

We’re hiring an Architect / Principal Engineer who can own the technical vision and delivery of reusable platform building blocks and an organization-wide AI integration framework. This person will design end-to-end reference architectures, starter kits, common services (APIs / jars / libraries), micro frontend patterns, and developer-facing tooling so that teams can adopt common capabilities with minimal friction. You will also drive the strategy and pragmatic adoption of AI across products by defining patterns for connecting domain data, orchestrating model calls, surfacing AI results in micro frontends, and ensuring secure, observable, and maintainable integrations.

• Define the architecture and roadmap for the DevEx Strategy domain: reusable service templates, code starter kits, libraries, SDKs, and micro frontend patterns.
• Design and deliver a generic AI integration framework that enables application teams to plug into standard interfaces for data, model orchestration, and UI surface (micro frontends) without bespoke engineering per app.
• Produce reference architectures, blueprints, and hands-on starter projects (backend + frontend + CI/CD + observability) that accelerate new projects.
• Build and maintain reusable components: APIs, SDKs/jars, libraries; keep them secure, documented, and versioned.
• Lead PoCs and prototype solutions that validate architectural approaches and evaluate new technologies (cloud, AI platforms, orchestration tools).
• Drive cross-team collaboration to ensure the templates and frameworks meet real product needs and evolve with feedback.
• Establish standards and best practices around service design, API contracts, authentication/authorization, data access, testing, release automation, and monitoring.
• Mentor and guide engineering teams and architects across the organization on adoption of the frameworks and patterns.
• Partner with product, security, infrastructure and data teams to ensure governance, privacy, compliance, and performance goals are embedded in platform capabilities.
• Participate in architecture reviews and help teams migrate from legacy approaches to standardized solutions.
• Own technical documentation, developer onboarding flows, and demos to help adoption.

Required Qualifications & Skills

• 6+ years of professional software engineering experience with progressive ownership over architecture and platform initiatives.
• Strong architecture background: microservices, event-driven systems, domain-driven design, API design and governance.
• Hands-on experience building reusable libraries/SDKs, starter kits, and reference implementations for other engineering teams to consume.
• Solid cloud experience with cloud (preferably AWS) — design for scalability, reliability and cost-efficiency.
• Practical experience with Docker and CI/CD pipelines.
• Backend expertise in Java / Spring (or equivalent) and demonstrable knowledge of service packaging (jars), dependency management, and versioning.
• Frontend proficiency (Angular, or similar) and experience with micro frontend architectures and patterns.
• Experience designing and consuming RESTful APIs.
• Strong understanding of data integration patterns and connectors for domain datasets.
• Familiarity with observability tools (metrics, tracing, logging) and operational excellence practices.
• Demonstrated ability to lead cross-functional technical initiatives and mentor engineers.
• Excellent communication skills; able to translate architectural tradeoffs for technical and non-technical stakeholders.

Preferred / Nice-to-Have

• Experience designing frameworks or platforms for AI/ML integration (LLM orchestration, model calling patterns, prompt management, etc.).
• Experience with AI/ML lifecycle tooling or ML platforms (SageMaker, Hugging Face, OpenAI/Anthropic APIs, etc.).
• Knowledge of prompt engineering, retrieval-augmented generation (RAG), embedding stores, and data privacy/safety considerations for AI.
• Familiarity with event streaming platforms and data pipelines.
• Strong security and compliance mindset (IAM, encryption, secure coding practices).
• Open source experience or community contributions to developer tooling.

Education & Experience

• BS/MS in Computer Science, Engineering or equivalent practical experience.
• 6+ years of software development experience; 3+ years in architect/lead technical roles strongly preferred.

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For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.

Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

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