# Senior Gen AI Software Engineer Source: https://realanalystjobs.com/job/senior-gen-ai-software-engineer-verisk-6b7f9d3c Senior Gen AI Software Engineer at Verisk, an on-site role based in Kraków, Poland. Experience level: 4 Years. Posted on 21 August 2026, read from Verisk's own careers page (Oracle HCM), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Verisk](https://realanalystjobs.com/companies/verisk) - Location: Kraków, Poland - Work mode: On-site - Posted: Aug 21, 2026 - Employment type: Full time - Experience level: 4 Years - Source: Verisk's careers page (Oracle HCM), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), Snowflake, AWS ## About this role 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. \#LI-AA1 \#LI-Hybrid Description from Verisk's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-gen-ai-software-engineer-verisk-6b7f9d3c) and use Apply now there to reach the employer's application. The listing is re-checked against Verisk's careers page daily and removed when it closes. ## Verisk 11 open analyst roles on Real Analyst Jobs. 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