Principal Gen AI Software Engineer

Jobtailor; Kraków; On-site; PLN 300,000 - 600,000; Full time

Job summary

Verisk is seeking a leader to set the technical direction for enterprise AI engineering, shaping architecture principles and long-term capability roadmaps in Kraków. You will influence cross-functional teams and define standards that ensure secure, scalable AI delivery.

You will own the most complex AI initiatives from ideation to production, drive integration with Snowflake, AWS, and ThoughtSpot, and act as the primary authority on LLM systems and governance across the organization.

Qualifications

• Bachelor’s degree or higher in AI, CS, Data Science, Software Engineering, or related field.
• 7+ years of software engineering experience, including 4+ years in AI/ML engineering, with demonstrated impact.
• Proven track record defining technical strategy, enterprise architecture, and engineering standards.
• Ability to define long-term AI engineering strategy and technology roadmap.
• Architects enterprise-scale AI platforms across AWS, Snowflake, ThoughtSpot, MCP-connected systems.

Responsibilities

• Set 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 ideation through production delivery and 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.
• 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.

Skills

AI strategy

Enterprise architecture

Leadership

Executive communication

Governance

Education

Bachelor's degree or higher

Tools

Snowflake

AWS

ThoughtSpot

MCP

Hybrid Cloud Environments

Job description

• Set 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.

Requirements

• 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.

Demonstrates expertise in AI engineering strategy, architecture principles, and governance, with a strong focus on enterprise-scale AI platforms and integration across cloud environments. Proven ability to lead cross-functional teams, mentor engineering talent, and communicate complex AI concepts to diverse stakeholders.

Tools & Technologies

• Snowflake
• AWS
• ThoughtSpot
• MCP
• Hybrid Cloud Environments