Senior AI Architect for Agentic Systems

Xebiacee; Polska; Remote; PLN 180,000 - 240,000; Full time

Job summary

Xebia seeks a senior AI architect to define and implement an enterprise AI foundation, focusing on agentic and LLM-based solutions. You will assess existing platforms, design scalable architectures, and guide decision-making for secure, compliant data delivery and governance across enterprise workloads.

You will work with senior stakeholders to ensure practical, cost‑efficient implementations and drive observability, lifecycle management, and reliable AgentOps/LLMOps practices within a European

Qualifications

• 7+ years of professional experience in software, data or AI engineering, including recent work as a solution architect, AI architect or lead engineer.
• 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, such as metadata, data quality, lineage, governance, pipelines and data products.
• 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, including total cost of ownership and lock-in.
• Confidence with senior technical and business stakeholders, and the ability to turn analysis into decision-ready recommendations.
• Very good English, spoken and written.

Responsibilities

• Define the target architecture for an enterprise AI foundation, separating shared capabilities from data management and data delivery use cases.
• Assess existing AI initiatives, components and platforms for maturity, value, reuse, scalability, cost and control, and advise on reuse, adaptation, buy, build or retirement.
• Benchmark the client’s approach against mature patterns and current market practice.
• Evaluate architecture and platform options across agent orchestration, APIs and MCP, data access and grounding, evaluation, observability and AgentOps/LLMOps.
• Incorporate non-functional requirements from the start: security, privacy, resilience, performance, auditability, explainability, access control, human oversight and cost.
• Prepare objective buy-versus-build recommendations covering total cost, speed, skills and vendor lock-in.
• Shape a lightweight lifecycle for Copilot experiments from intake to promotion to reusable capabilities.
• Build the proof of concept hands-on: agents, integrations, evaluation pipelines, tests and NFR evidence on workloads.

Skills

Python

Agent orchestration

APIs

LLMOps

Data governance

Stakeholder communication

English proficiency

Tools

MCP

LLM platforms

Observability tools

Job description

Xebia seeks a senior AI architect to define and implement an enterprise AI foundation, focusing on agentic and LLM-based solutions. You will assess existing platforms, design scalable architectures, and guide decision-making for secure, compliant data delivery and governance across enterprise workloads.

You will work with senior stakeholders to ensure practical, cost‑efficient implementations and drive observability, lifecycle management, and reliable AgentOps/LLMOps practices within a European