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Principal  Gen AI Software Engineer

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TEK Analytics logo

Principal  Gen AI Software Engineer

TEK Analytics

300 000–500 000 / Year

Location

Krakow, Malopolskie, Poland

Experience

Senior

Posted

Jul 14, 2026

Apply by

August 13, 2026

Applicants

0

Early applicantEasy applyFull-timeHybrid

Sign in to apply on web or download the app for more options.

Job Description

We are looking for a Principal AI Engineer! 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. ### 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 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) ### Qualifications - 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. #LI-AA1 #LI-Hybrid ### About the Company 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](https://www.verisk.com/company/about/) 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](https://www.verisk.com/company/csr/social/our-culture/): Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. [Awards & Recognition](https://www.verisk.com/company/newsroom/topics/culture/): See why Verisk is consistently recognized as a Great Place to Work™ around the world. [Our Businesses](https://www.verisk.com/solutions/): Learn about the diverse industries we serve — from insurance and energy to financial services and beyond. [Life at Verisk](https://www.linkedin.com/company/verisk-analytics/life): Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments. [Careers at Verisk](https://www.verisk.com/company/careers/): 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. [Verisk Employee Privacy Notice](https://www.verisk.com/49041b/siteassets/media/downloads/verisk-global-employee-privacy-notice.pdf)

Key Responsibilities

  • Set technical direction for AI engineering across the organization, including architecture principles and technology choices.
  • Own the design of complex, strategic AI initiatives from ideation through production delivery.
  • Define and enforce engineering standards for AI systems, including security, scalability, and governance.
  • Lead enterprise AI integration strategy connecting models to Snowflake, AWS, and ThoughtSpot.
  • Act as primary technical authority on LLM systems, agentic architectures, and RAG.
  • Drive cross-functional alignment between engineering, data, product, and business teams.
  • Champion AI governance regarding data access, PII, security, and cost controls.
  • Lead code reviews and technical design reviews to elevate engineering quality.
  • Present technical vision and AI strategy to senior leadership and external stakeholders.
  • Build and scale the AI engineering function through mentoring and team structure definition.

Requirements

  • Bachelor's degree or higher in AI
  • Computer Science
  • Data Science
  • Software Engineering
  • or a related field

Skills Required

AWSSnowflakeThoughtSpotOpenSearchpgvectorPostgresOpenAIAnthropicClaudeAWS BedrockModel Context Protocol (MCP)PythonDockerBitbucketJiraConfluenceCursorGitHub CopilotClaude CodeExecutive communicationStrategic thinkingInfluential leadershipDecision-makingCoaching and mentoringCross-functional alignmentExternal recognition (publications, speaking, or open source)

Benefits

  • Private health insurance
  • Medical care
  • Multisport card
  • Employee Capital Plans (PPK)
  • Paid vacation
  • Sick leave
  • Flexible working hours
  • Professional development programs
  • Sports and wellness programs
  • Team-building events

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Job Overview

Salary

300 000–500 000 / Year

Currency: PLN

Job Type

Full-time

Experience

Senior

Location

Krakow, Malopolskie, Poland

Application Deadline

August 13, 2026

Total Applicants

0

About TEK Analytics

TEK Analytics logo

TEK Analytics is a leading company in the Technology sector, known for innovation and employee-centric culture.

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