AI Strategy & Adoption Lead

Unit4 Poland specializes in developing innovative IT systems that support key areas of enterprise operations, including HR and payroll, finance, logistics, and manufacturing. The company delivers TETA HR, a market-leading HR solution, as well as TETA ERP, a people-centric system that automates day-to-day operations.

• Proven experience in designing and implementing AI-driven solutions within software development environments (e.g., AI-assisted coding, testing automation, DevOps optimization).
• Strong understanding of the software development lifecycle (SDLC) and ability to identify high-impact areas for AI enablement.
• Hands-on experience with LLMs, GenAI, and agentic workflows (e.g., AI agents for code generation, test creation, documentation, or release automation).
• Ability to define, lead, and coordinate AI adoption processes, from strategy through pilot execution to scaled rollout.
• Experience in evaluating and selecting AI tools and platforms (e.g., Copilot, code assistants, AI testing tools, orchestration frameworks), including cost–benefit and ROI analysis.
• Strong analytical skills to identify and prioritize use cases with the highest business value (e.g., agentic development candidates, automation opportunities).
• Experience with integration of AI solutions into existing development ecosystems (e.g., Azure DevOps, CI/CD pipelines, code repositories).
• Familiarity with data architecture concepts, including RAG, embeddings, vector databases, and knowledge grounding.
• Understanding of software quality, security, and compliance considerations (e.g., code quality, GDPR, secure AI usage).
• Ability to work across technical and business domains, translating needs into practical AI implementation plans.
• Strong stakeholder management and communication skills, with experience driving cross-functional initiatives.

Nice to have:

• Experience with AI governance frameworks and responsible AI practices.
• Background in agent-based architectures and orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen).
• Knowledge of test automation frameworks and AI-driven QA (e.g., E2E, synthetic data, test generation).
• Experience in change management and AI adoption within enterprise organizations.

• Define and execute the AI adoption roadmap for software development.
• Identify and validate high-value AI use cases, including agentic development scenarios.
• Select and onboard appropriate AI tools and platforms.
• Coordinate pilots, measure outcomes, and scale successful initiatives.
• Establish best practices, standards, and governance for AI usage in development.
• Educate and support development teams in leveraging AI effectively.

This role may require security clearance for customer projects and access to sensitive customer data. Background checks might be conducted, including personal identification and work history disclosure, handled according to local privacy laws.