Solution Architect (Generative AI / Agentic AI)

Vertex Agility; Kraków; Sur place; PLN 180 000 - 300 000; Plein temps

Avantages offerts par ce poste

Private medical care

Life insurance

Multisport card

Full-time employment

Résumé du poste

Vertex Agility is seeking a Solution Architect to shape the technical direction of a global AI-enabled employee IT support programme. The platform grows from a conversational assistant into an enterprise capability that resolves requests, carries out tasks and connects to many internal systems.

You will turn business goals into clear, structured solution designs and work closely with engineers on how they are built, while explaining the architecture to senior non-technical audiences.

Qualifications

• 3+ years as a Solution Architect, Enterprise Architect or Lead Technical Architect in a large global organisation.
• Track record of designing large-scale enterprise platforms and integrations.
• Experience with AI, LLMs and generative AI services.
• Experience with AI agent frameworks or MCP-based integrations.
• Experience with RAG, vector databases or knowledge graphs.
• Solid understanding of cloud-native architecture, Kubernetes, microservices and API management.
• Good knowledge of security architecture, CI/CD and observability practices.
• Ability to turn ambiguity into well-structured designs and present to senior stakeholders.

Responsabilités

• Own the end-to-end solution architecture for the AI support platform and its workstreams.
• Translate business needs into scalable designs and keep architecture docs up to date.
• Design AI capabilities that combine LLM orchestration, RAG and agent-based workflows.
• Shape integrations through MCP, APIs and event-driven patterns with ticketing, knowledge and automation tools.
• Define architecture standards for authentication, identity, auditability, monitoring and AI governance.
• Compare technology options and balance value, risk, cost and complexity.
• Partner with engineering teams to ensure designs are built as intended.
• Support planning, estimation and early risk identification between business, delivery and engineering.

Connaissances

Solution Architect

Enterprise Architecture

Lead Technical Architect

LLMs & Generative AI

MCP integration

Kubernetes

Description du poste

Job Opportunity: Solution Architect (Generative AI / Agentic AI)

Type of contract:

B2B

Role Overview

We are looking for a Solution Architect to shape the technical direction of a global programme that is rebuilding employee IT support around AI assistants and agents. The platform is growing from a conversational assistant into an enterprise capability that resolves requests, carries out tasks and connects to many internal systems.

You will turn business goals and open questions into clear, structured solution designs, work closely with engineers on how they are built, and explain the architecture to senior non-technical audiences.

Responsibilities:

• Own the end-to-end solution architecture for the AI support platform and its workstreams.
• Translate business needs into scalable designs and keep high-level and low-level architecture documentation up to date.
• Design AI capabilities that combine LLM orchestration, RAG and agent-based workflows.
• Shape integrations through Model Context Protocol (MCP), APIs and event-driven patterns, connecting the platform with ticketing, knowledge and automation tools.
• Define architecture standards covering authentication, identity, auditability, monitoring and AI governance.
• Compare technology options and recommend the right balance of value, risk, cost and complexity.
• Partner with engineering teams to make sure designs are built as intended, and contribute to design authority forums.
• Act as the link between business, delivery and engineering, supporting planning, estimation and early risk identification.

Requirements:

• 3+ years as a Solution Architect, Enterprise Architect or Lead Technical Architect in a large, global organisation.
• Track record of designing large-scale enterprise platforms and integrations.
• Practical experience building or prototyping solutions on LLMs and generative AI services.
• Experience with AI agent frameworks or MCP-based integrations.
• Experience with RAG, vector databases or knowledge graphs.
• Solid understanding of cloud-native architecture, Kubernetes, microservices and API management.
• Good knowledge of security architecture, CI/CD and observability practices.
• Ability to turn ambiguity into well-structured designs and present them clearly to senior stakeholders.

What we offer:

• B2B contract.
• Private medical care, life insurance, and access to Multisport card.
• Stable, long-term projects with full-time employment.