We are looking for a Principal AI Engineer to serve as our highest-level individual technical contributor in AI engineering. You will set the technical direction for AI across the organisation, drive architectural decisions, own cross-functional delivery of strategic AI initiatives, and establish the engineering culture and standards that scale our capabilities. This is a role for a recognized expert who can lead from the front — hands-on, opinionated, and deeply trusted.
About Verisk
Verisk Analytics is a global supplier of risk assessment services and decision analytics for customers across insurance, healthcare, financial services, and supply chain. We are a thriving public company with offices worldwide, continually expanding into new markets with excellent growth potential. At Verisk, you will be part of an organisation committed to the long-term interests of our stakeholders and communities.
ResponsibilitiesSet the technical direction for AI engineering across the organization — establishing architecture principles, technology choices, and long-term capability roadmap.
Own the design of the most complex, strategic AI initiatives — from early ideation through production delivery and ongoing evolution.
Define and enforce engineering standards for AI systems: security, scalability, evaluation, observability, and governance.
Lead enterprise AI integration strategy — connecting AI models to Snowflake, AWS, ThoughtSpot, and broader data ecosystems via MCP and custom integrations.
Act as the primary technical authority on LLM systems, agentic architectures, RAG, and emerging AI frameworks within the organization.
Drive cross-functional alignment between engineering, data, product, and business teams on AI strategy and priorities.
Champion AI governance at the organizational level — data access, PII, security, cost controls, and responsible deployment.
Lead code reviews and technical design reviews across teams; elevate the overall quality and consistency of AI engineering practice.
Present technical vision and AI strategy to senior leadership and external stakeholders.
Build and scale the AI engineering function — mentoring principals-in-training, defining levelling criteria, and contributing to hiring and team structure.
Represent Verisk AI engineering externally — thought leadership, technical writing, or industry engagement where relevant.
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)
- Bachelor's degree or higher in AI, Computer Science, Data Science, Software Engineering, or a related field (or equivalent experience).
- 7+ years of software engineering experience, including 4+ years in AI/ML engineering, with demonstrated organizational impact.
- Proven track record of defining technical strategy, enterprise architecture, and engineering standards; external recognition (publications, speaking, or open source) is an advantage.
- Ability to define the long-term AI engineering strategy and technology roadmap, driving adoption of emerging AI capabilities where they deliver business value.
- Architects enterprise-scale AI platforms across AWS, Snowflake, ThoughtSpot, MCP-connected systems, and hybrid cloud environments.
- Executive communication with the ability to clearly articulate AI strategy, technical vision, and complex concepts to senior leaders and diverse stakeholders.
- Strategic thinking that connects AI engineering decisions to long-term business objectives and anticipates future organizational needs.
- Influential leadership that shapes engineering culture, drives alignment, and builds consensus across teams and functions.
- Strong decision-making and sound judgement.
- Coaching and mentoring mindset, with a proven ability to develop senior engineering talent and strengthen organizational capability.
We offer:
- The opportunity to define and lead the enterprise AI strategy, shaping the adoption of cutting-edge LLM, agentic AI, RAG, and emerging AI technologies across the organization.
- Ownership of enterprise-scale AI architecture, platforms, and engineering standards spanning AWS, Snowflake, ThoughtSpot, and hybrid cloud environments.
- The autonomy to influence technology direction, governance, engineering culture, and long-term platform evolution while mentoring the next generation of AI leaders.
- A hybrid work model with flexible working hours.
- A benefits package, including private health insurance, medical care, and a Multisport card.
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About UsOur 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 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: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
Awards & Recognition: See why Verisk is consistently recognized as a Great Place to Work™ around the world.
Our Businesses: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.
Life at Verisk: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.
Careers at Verisk: 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.
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Skills Required
- Bachelor's degree in AI, Computer Science, Data Science, Software Engineering or related (or equivalent experience)
- 7+ years software engineering experience, including 4+ years in AI/ML engineering with demonstrated organizational impact
- Deep expertise with LLM systems, agentic architectures, RAG, and emerging AI frameworks
- Proven track record defining technical strategy, enterprise architecture, and engineering standards
- Experience architecting enterprise-scale AI platforms across AWS, Snowflake, ThoughtSpot, MCP-connected systems, and hybrid cloud
- Hands-on proficiency with AWS services (S3, EC2, Lambda, SageMaker, Bedrock, IAM) and Snowflake (Snowpark, virtual warehouses, stages, streams)
- Experience integrating AI models with data ecosystems (Snowflake, ThoughtSpot, OpenSearch, pgvector/Postgres) and MCP servers
- Proficiency in Python, Docker, version control and tooling (Bitbucket), and collaboration tools (Jira, Confluence)
- Strong executive communication, cross-functional leadership, and ability to present technical vision to senior stakeholders
- Experience enforcing AI governance: data access, PII protection, security, cost controls, and responsible deployment
- Mentoring and developing senior engineering talent, defining leveling criteria and hiring input
- External recognition such as publications, speaking, or open source contributions
- Representing the company externally through thought leadership or technical writing
Verisk Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verisk and has not been reviewed or approved by Verisk.
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Retirement Support — A strong company 401(k) match is specified, with additional references to profit‑sharing. Together these create a solid foundation for long‑term savings.
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Healthcare Strength — Medical, dental, vision, HSA/FSA, and life and disability coverage are described positively. Mental‑health support and broader well‑being programs are also highlighted.
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Leave & Time Off Breadth — Generous PTO and paid holidays are noted alongside flexible/remote work options and volunteer time. Companywide well‑being days further expand time‑off options.
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What We Do
Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Our team of nearly 9,000 helps customers make crucial decisions every day about risk—with greater precision, efficiency, and discipline.








