Principal Gen AI Software Engineer

Verisk

Principal AI Engineer at Verisk Analytics leading AI initiatives and architectural decisions. Establishing engineering culture and standards while managing strategic AI projects.

Posted 7/10/2026full-timeKrakow • 🇵🇱 PolandLead💰 PLN 300,000 - PLN 500,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudOpen Source

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Private medical care
Life insurance
Employee Capital Plans (PPK)
Paid vacation and sick leave in line with the Polish Labour Code
Flexible working arrangements through a hybrid work model
Access to professional development programs
Access to sports and wellness programs
Well-being initiatives
Team-building events

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI EngineeringSoftware EngineeringMachine Learning EngineeringTechnical Strategy DefinitionEngineering Standards EnforcementAI GovernanceCode ReviewTechnical Design ReviewLong-Term Roadmap DevelopmentData Ecosystem Integration

Soft Skills

Strategic ThinkingDecision-MakingCoachingMentoringCross-Functional Alignment