Our client is one of the leading travel technology platforms in Central & Eastern Europe, serving millions of customers through a modern digital marketplace and a broad portfolio of travel services. With a strong in-house engineering organization and a product-first mindset, the company is making AI a strategic pillar of its future growth.

As part of this transformation, they are investing in enterprise-wide AI enablement — helping both engineering and business teams integrate AI into everyday work in a secure, scalable, and measurable way.

To support this initiative, we are looking for an AI Enablement Lead who will combine technical expertise with education, change management, and hands-on experimentation.

AI Enablement Lead
Location: Gdańsk / Hybrid

Essential functions

This is a highly visible, cross-functional position that sits at the intersection of Software Engineering, AI, and organizational transformation.

You will be responsible for introducing, integrating, and scaling AI capabilities across the company — starting with engineering teams and gradually expanding to the wider business. You’ll work hands-on with modern AI tooling while building the standards, documentation, training programs, and best practices that enable hundreds of employees to work more effectively with Generative AI.

This is an ideal opportunity for an experienced Software Engineer who enjoys building, teaching, experimenting, and helping others become more productive through technology.

• Lead the implementation, configuration, and integration of enterprise AI tools, ensuring they operate securely and effectively within the organization’s ecosystem.
• Build practical AI workflows by integrating LLM-based solutions with internal systems and developer tooling.
• Drive company-wide AI adoption through a structured rollout strategy, beginning with engineering teams and expanding across business functions.
• Design and continuously improve AI enablement programs, including workshops, technical documentation, playbooks, self-paced learning materials, and best practices.
• Define engineering standards for AI usage, including prompting guidelines, reusable workflows, documentation standards, and recommended ways of working.
• Build and support a network of AI Champions who will promote knowledge sharing and AI adoption within their teams.
• Collaborate closely with Engineering, Security, IT, and Legal teams to establish secure and practical governance for enterprise AI usage.
• Evaluate emerging AI tools and technologies using objective technical criteria and real business use cases.
• Measure adoption, engagement, and business impact, providing recommendations based on data rather than assumptions.
• Stay hands-on by prototyping new AI solutions, testing emerging capabilities, and continuously exploring how AI can improve software development and business productivity.
• Scale your impact by creating high-quality documentation, reusable assets, and self-service learning resources rather than relying solely on individual coaching.
• Occasionally travel to company offices to facilitate workshops and collaborate with technical and business stakeholders.

Experience / Knowledge

Technical Experience

• Hands-on Software Engineering experience.
• Strong software development fundamentals, regardless of primary programming language.
• Experience building integrations using APIs, authentication mechanisms, webhooks, and modern development workflows.
• Practical scripting or prototyping skills in at least one programming language such as JavaScript/TypeScript, Go, Python, PHP, or similar.
• Solid understanding of Git-based development processes.
• Good understanding of security, privacy, and data governance principles.

AI Experience

• Commercial or extensive hands-on experience working with Large Language Models and Generative AI solutions.
• Experience implementing AI-assisted development workflows, coding assistants, AI agents, retrieval-based solutions, or similar technologies.
• Strong understanding of prompt engineering, AI limitations, evaluation techniques, and practical enterprise use cases.
• Genuine curiosity about emerging AI technologies and a habit of continuously experimenting with new tools.

Communication and Leadership

• Excellent communication skills with the ability to explain technical concepts to both engineers and non-technical audiences.
• Experience mentoring developers, leading technical workshops, onboarding engineers, or creating technical learning materials.
• Proven ability to influence teams and drive technology adoption without formal management authority.
• Comfortable presenting to both technical and business stakeholders.
• English proficiency.

Nice to have

• Experience with enterprise AI platforms such as Claude, Microsoft Copilot, Cursor, or similar solutions.
• Familiarity with Model Context Protocol (MCP) or comparable AI integration frameworks.
• Previous experience in Developer Relations, Developer Advocacy, Technical Enablement.
• Experience creating technical documentation, developer education content, or internal learning programs.
• Familiarity with modern frontend frameworks such as React or Next.js.
• Knowledge of SQL, vector databases, RAG, Docker, CI/CD, or Kubernetes.

What You’ll love working here

• A unique opportunity to shape the AI strategy of one of the region’s leading travel technology companies.
• High visibility and direct collaboration with senior technology and business leaders.
• The freedom to experiment with cutting-edge AI technologies and influence engineering practices across the organization.
• Real ownership over enterprise AI enablement and measurable impact on business productivity.
• Flexible employment model (Employment Contract or B2B).
• Hybrid working model.
• Comprehensive benefits package, including private healthcare, life insurance, sports membership, learning budget, and additional employee benefits.
• Access to professional training, conferences, and continuous learning opportunities.
• A collaborative engineering culture focused on knowledge sharing, innovation, and continuous improvement.