We are looking for an AI Engineer to take ownership of AI feature development. **About the role** We are looking for a **m** **id-level AI Engineer** to take ownership of end-to-end AI feature development and play a key role in shaping the architecture and design of our AI solutions. In this role, you will build and deploy production-grade LLM applications, advanced RAG pipelines, and agentic workflows integrated with our AWS and Snowflake data platform. You'll collaborate closely with data engineers, solution architects, and business stakeholders to deliver scalable, high-impact AI capabilities that solve real-world business challenges. **About Verisk** Verisk is a global leader in data analytics and risk assessment, serving customers across the insurance, healthcare, financial services, and supply chain industries. As a publicly traded company with a strong global presence, we continue to expand into new markets while investing in innovation and long-term growth. ### Responsibilities - Own end-to-end delivery of AI features and integrations — from requirements through to deployed, monitored solutions. - Design and implement advanced RAG pipelines including chunking strategy, retrieval architecture, hybrid search, and evaluation frameworks (RAGAs, LangSmith). - Build adaptive agentic workflows and multi-step AI systems using frameworks such as LangChain, LlamaIndex, LangGraph, or AutoGen. - Develop and maintain MCP servers and integrations connecting AI models to Snowflake, AWS services, and enterprise APIs. - Integrate AI capabilities with our AWS data platform — S3, SageMaker, Lambda, Bedrock — and surface insights through ThoughtSpot. - Contribute to technical design discussions, proposing scalable, secure, and cost-efficient architectural patterns. - Evaluate AI model outputs systematically; own optimization of cost, latency, and quality metrics. - Apply AI governance practices — PII handling, data access controls, and prompt injection mitigations. - Translate business requirements into technical specifications in collaboration with subject matter experts and project managers. - Conduct and participate in code reviews; actively support the growth of junior engineers. **You will work within the following core technology environment:** - Cloud Platform: AWS (S3, EC2, Lambda, SageMaker, Bedrock, IAM) - Data Warehouse: Snowflake (Snowpark, virtual warehouses, stages, streams) - Analytics & BI: ThoughtSpot - Search & Vector: OpenSearch, pgvector (Postgres) - LLM Providers: OpenAI, Anthropic / Claude, AWS Bedrock - AI Connectivity: Model Context Protocol (MCP) servers and integrations - Version Control & Project Tooling: Bitbucket, Jira, Confluence - Dev Tooling: Docker, Python, AI coding assistants (Cursor, GitHub Copilot, Claude Code) ### Qualifications **Education, experience & technical skills:** - Bachelor's degree (or higher) in **Computer Science, AI, Data Science**, or a related field. - **2–4 years** of hands-on experience in software or AI engineering, with a proven track record of delivering AI/ML solutions. - Strong Python skills, including **pytest**, async programming, type hints, packaging, and code reviews, with experience building production services. - Experience designing and deploying end-to-end **RAG** pipelines using OpenSearch, pgvector, reranking, and evaluation frameworks. - Hands-on experience building **agentic AI** workflows, including tool-use agents and human-in-the-loop patterns. - Experience with **MCP** integrations connecting AI applications to Snowflake, REST APIs, and enterprise systems. - Familiarity with AI evaluation, model observability, prompt security, and guardrails across OpenAI, Anthropic, and Amazon Bedrock. - Experience deploying AI solutions on **AWS** (S3, Lambda, SageMaker, ECR, IAM). - Working knowledge of **Snowflake**, including Snowpark and core platform features. - Experience with **Docker**, REST APIs, CI/CD, and AWS deployment pipelines. - Understanding of data security, PII handling, and responsible AI practices. **Soft skills:** - Excellent problem-solving abilities, breaking down ambiguous challenges, validating assumptions, and evaluating technical trade-offs. - Clear written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical audiences. - Self-driven and accountable, taking ownership of deliverables and proactively identifying opportunities for improvement. - Collaborative mindset, providing and receiving constructive feedback while contributing to a positive engineering culture. - Adaptable and resilient, comfortable navigating uncertainty, experimentation, and evolving priorities. **We offer:** - The opportunity to build production-grade AI solutions using the latest LLM, RAG, and agentic AI technologies on AWS and Snowflake. - A collaborative, international environment where you'll work closely with software engineers, solution architects, and business stakeholders to solve real-world challenges. - Exposure to modern AI tooling, cloud-native architectures, and the freedom to influence technical design and engineering best practices. - A hybrid work model with flexible working hours. - A benefits package, including private health insurance, medical care, and a Multisport card. #LI-AA1 #LI-Hybrid ### About the Company **Our People, Our Culture** For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. [Learn more about Verisk](https://www.verisk.com/company/about/) and what we are doing within the insurance industry. 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. [**Our Culture**](https://www.verisk.com/company/csr/social/our-culture/): Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. [**Awards & Recognition**](https://www.verisk.com/company/newsroom/topics/culture/): See why Verisk is consistently recognized as a Great Place to Work™ around the world. [**Our Businesses**](https://www.verisk.com/solutions/): Learn about the diverse industries we serve — from insurance and energy to financial services and beyond. [**Life at Verisk**](https://www.linkedin.com/company/verisk-analytics/life): Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments. [**Careers at Verisk**](https://www.verisk.com/company/careers/): Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture. Let’s build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Verisk offers a competitive salary aligned with market standards and your experience, disclosed in accordance with the Pay Transparency Directive. In addition to base pay, our compensation package includes a variety of incentive opportunities for eligible roles, designed based on market research and our internal grading structure. You’ll also receive a comprehensive benefits package featuring private medical care, life insurance, Employee Capital Plans (PPK), as well as paid vacation and sick leave in line with the Polish Labour Code. Verisk also supports flexible working arrangements through a hybrid work model, access to professional development programs, and a work environment focused on well-being and career growth. Additional perks include access to sports and wellness programs, well-being initiatives, and team-building events. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. [Verisk Employee Privacy Notice](https://www.verisk.com/49041b/siteassets/media/downloads/verisk-global-employee-privacy-notice.pdf)