Agentic AI Architect

About the Position

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, we help organizations design and build scalable products, platforms, and data-driven solutions.

We are currently seeking an Agentic AI Architect to join our team in the CEE region. This role involves defining the target architecture for an enterprise agentic AI foundation, assessing existing AI initiatives, and recommending what to reuse, adapt, buy, build, or retire.

Responsibilities

• Define the target architecture for an enterprise agentic AI foundation.
• Assess existing AI initiatives, components, and platforms.
• Benchmark the client's approach against mature internal agentic patterns and current market practice.
• Evaluate architecture and platform options across agent orchestration, APIs, and data access.
• Build non-functional requirements into the design from the start.
• Prepare objective buy-versus-build recommendations for key components.
• Shape a lightweight lifecycle for team-level Copilot experiments.
• Build proof of concept hands-on: agents, integrations, evaluation pipelines, tests, and NFR evidence.
• Work with data, technology, AI risk, and business stakeholders in weekly reviews, demos, and decision sessions.
• Transfer knowledge throughout the engagement through pairing, architecture and code walkthroughs, runbooks, and decision records.

Requirements

• 7+ years of professional experience in software, data, or AI engineering.
• Hands-on experience designing and delivering LLM-based and agentic solutions beyond the prototype stage.
• Strong Python skills and practical experience with agent orchestration, tool integration via APIs and MCP, and retrieval and grounding on enterprise data.
• Experience with evaluation, observability, and lifecycle management of AI systems (AgentOps/LLMOps).
• A solid understanding of data management and data delivery.
• Experience in regulated environments where security, privacy, auditability, and AI risk requirements shape the architecture.
• A track record of turning prototypes into reusable, controlled, and supportable capabilities.
• The ability to assess commercial products against open-source and build options objectively.
• Confidence with senior technical and business stakeholders, and the ability to turn analysis into decision-ready recommendations.
• Very good English, spoken and written.

We Offer

• Opportunity to work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.
• A strong engineering culture combined with a consulting mindset.
• Continuous focus on growth and knowledge sharing.

About the Company

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, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

Locations

• Bulgaria
• Poland
• Romania

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