Senior Gen AI Software Engineer

We are seeking a Senior AI Engineer to lead the design and delivery of complex AI solutions across our enterprise data platform. You will define technical standards, mentor junior engineers, and act as a key bridge between business requirements and production AI systems. Deep expertise in LLMs, agentic architectures, and enterprise data integration (AWS, Snowflake, ThoughtSpot) is essential.

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.

• Lead the technical design and delivery of complex, multi-component AI systems across our enterprise data platform.

• Define architectural patterns and engineering standards for AI development — RAG, agents, LLM integrations, and MCP-based enterprise connectivity.

• Drive secure, scalable integrations between AI models and enterprise data systems including Snowflake, AWS (SageMaker, Bedrock, S3), and ThoughtSpot.

• Own end-to-end AI solution quality — including evaluation frameworks, monitoring pipelines, cost governance, and production reliability.

• Lead cross-functional collaboration with data engineers, platform architects, and business stakeholders to shape requirements and validate solutions.

• Mentor and coach junior and mid-level engineers, conducting substantive code reviews and contributing to team technical growth.

• Champion AI governance standards — security, data access, PII, prompt injection, and responsible deployment practices.

• Proactively identify and resolve technical risks and architectural gaps; communicate escalations clearly to engineering leadership.

• Contribute to hiring processes — interviewing candidates and helping define role expectations.

• Lead knowledge-sharing sessions and represent the team in technical discussions with senior stakeholders.

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 Artificial Intelligence, Computer Science, Data Science, Software Engineering, or a related technical field (or equivalent practical experience).
• At least 4 years of professional experience in software engineering or AI engineering, including at least 2–3 years designing, developing, and deploying AI/ML solutions in production environments.
• Strong expertise in agentic AI systems, including multi-agent architectures, orchestration frameworks (e.g., LangGraph, AutoGen), and state management.
• Experience designing secure enterprise AI integrations using MCP or similar integration patterns.
• Advanced knowledge of vector search and RAG architectures using OpenSearch (kNN, hybrid search) and pgvector.
• Hands-on experience with LLM fine-tuning (LoRA, PEFT, RLHF) and selecting appropriate approaches across fine-tuning, prompt engineering, and RAG.
• Advanced experience with AWS AI services (including SageMaker and Bedrock) and Snowflake (Snowpark, Dynamic Tables, feature pipelines) for scalable AI solutions.
• Experience implementing AI evaluation, observability, security, governance, and compliance frameworks for production systems.
• Strong cloud engineering skills, including containers, Infrastructure as Code (IaC), CI/CD, and cost-optimized deployments.
• Excellent communication, stakeholder management, and mentoring skills, with the ability to influence technical decisions across cross-functional teams.

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.

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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 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/

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