[Hiring] Senior AI Consultant @Poland and Eastern Europe

Role Description

You will be:

• Leading AI adoption and enablement programs for client engineering teams.
• Running workshops, demos, training sessions, and pair-programming activities that translate AI capabilities into practical day-to-day engineering workflows.
• Designing and implementing AI-augmented workflows and automations across the software development lifecycle.
• Evaluating and benchmarking AI tools, agents, and coding assistants, turning technical findings into clear recommendations.
• Experimenting with emerging AI technologies and identifying practical use cases for software engineering teams.
• Contributing to Xebia's Center of Excellence for Engineering Productivity by developing standards, playbooks, cookbooks, and best practices for AI in software development.
• Participating in CoE activities and helping shape the direction of Xebia's AI@Engineering initiative.
• Advising client engineering leaders on AI adoption strategies, opportunities, and practical implementation.
• Combining strategic consulting with hands-on technical work to help engineering organizations adopt AI effectively.

Qualifications

• Several years of experience in software engineering, engineering productivity, DevOps, developer experience, or a closely related technical field.
• Hands-on experience using AI tools, LLMs, coding assistants, and AI agents to improve software engineering workflows.
• Practical understanding of how AI can be applied across the Software Development Lifecycle (SDLC).
• Experience designing or implementing AI-enabled workflows, automations, or developer productivity solutions.
• Experience working directly with engineering teams and/or clients in a consulting, enablement, or advisory capacity.
• Ability to evaluate new AI technologies pragmatically and translate technical capabilities into business and engineering value.
• Strong communication and presentation skills, with confidence working with both engineers and engineering leadership.
• Experience facilitating technical workshops, demos, training sessions, or enablement programs.
• Strong ownership and ability to work independently in a fast-changing environment.
• Fluent professional English (C1) for client-facing communication and presentations.
• Work from the European Union region and a work permit are required.

Requirements

• Practical experience applying AI across multiple SDLC phases, such as AI-assisted testing, code review, documentation, debugging, requirements analysis, or software design.
• Familiarity with LLMOps and AI platform concepts, such as AI gateways, observability, cost management, or model routing.
• Experience creating technical content, including guides, playbooks, blog posts, cookbooks, or internal knowledge-base materials.
• Familiarity with AI adoption maturity models, engineering productivity metrics, DORA metrics, or structured assessment methodologies.
• Awareness of or hands-on experience with Model Context Protocol (MCP), MCP servers, and tool integrations.

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision