AI Forward Deployment Engineer

Role Overview

The AI Forward Deployment Engineer works at the intersection of business and technology to turn AI potential into working solutions.

This is a hands-on, client-facing role focused on solving real problems rather than only designing concepts. You will work directly with clients to understand their challenges, identify where AI can create value, and deliver solutions that are implemented, integrated, and ready to use.

The role owns problems end-to-end—from shaping the idea and selecting the right tools to deploying solutions in live environments. It requires balancing strategic thinking with execution, navigating ambiguity, and adapting continuously to new tools and technologies.

You will connect business needs with technical capabilities, translate complexity into practical outcomes, and ensure AI delivers measurable client impact.

Responsibilities

• Engage with clients to understand business needs, challenges, and opportunities for AI adoption
• Analyse business processes and identify areas for optimisation and automation
• Translate business requirements into practical AI-driven solutions
• Select and implement appropriate AI tools and technologies, including LLM-based solutions, RAG architectures, and automation tools
• Configure and integrate AI solutions with existing client systems, APIs, databases, and workflows
• Develop and deliver prototypes, MVPs, and production-ready implementations
• Own and drive defined project streams independently, including direct client interaction
• Collaborate with subject matter experts when deeper technical or domain expertise is required

Requirements

Business & Consulting Skills

• Ability to structure problems and understand business processes
• Strong communication skills and experience working directly with clients
• Capability to translate business needs into technical solutions
• Working knowledge of programming and integrations, including APIs and scripting

AI & Tooling Awareness

• Familiarity with the AI tooling landscape, including LLMs, automation platforms, and RAG frameworks
• Understanding of the capabilities, limitations, and practical use cases of AI solutions

Technical Competence

• Experience in software development, system integration, or technical implementation
• Ability to configure, customise, and deploy systems

What's in it for you?

• Development opportunities through internal mobility across diverse domains, projects, and modern technologies
• Learning from experienced colleagues
• Flexible work: fully remote, full-time from the Wroclaw office, or hybrid
• Private medical care, life insurance, and sport card