Senior AI Consultant

Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and a team of 5,000 professionals across 16 countries. The company specializes in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. In the CEE region, the team of nearly 1,000 experts delivers modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, and others. They work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, combining engineering culture with consulting and continuous growth.

• 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.

• 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.

Work from the European Union region and a work permit are required.