Solution Architect

Project overview

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

We are seeking a highly experienced Senior Solution Architect to join the technical delivery team. This individual will shape the architecture and technical direction of Programme Echo, working closely with AI specialists, engineers, and business stakeholders to design scalable, secure and future‑proof solutions.

The ideal candidate combines broad architectural expertise with hands‑on knowledge of modern AI platforms and enterprise integration patterns — able to engage deeply on technical topics while communicating clearly with executive audiences.

Sounds like your kind of challenge?

What you get in return

Architecture Experience

AI & Contemporary Platform Knowledge

Cloud & Engineering Expertise

Personal Competencies

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

• Flexible cooperation model
• Hybrid work setup – remote days available depending on the client’s arrangements
• 6 days a week from the office in Kraków
• Collaborative team culture – work alongside experienced professionals eager to share knowledge
• Continuous development – access to training platforms and growth opportunities
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment – laptop and essential software provided
• Own end‑to‑end solution architecture for Programme Echo workstreams.
• Produce and maintain architecture artefacts (high‑level and detailed designs).
• Translate business objectives into scalable and secure technical solutions.
• Define architecture standards, patterns, and design principles.
• Evaluate solution options considering business value, risk, cost, and complexity.
• Collaborate with engineering teams to ensure smooth implementation of architectural designs.
• Contribute to technical design authority reviews and governance forums.
• Retrieval Augmented Generation (RAG)
• Vector Databases
• Knowledge Graphs
• LLM Orchestration and Prompt Pipelines
• Agentic AI Frameworks
• Model Context Protocol (MCP) integrations
• AI Security and Governance Controls
• Partner with AI engineers and data specialists to define scalable AI architecture patterns.
• Continuously assess emerging AI technologies and evaluate their fit within the Echo ecosystem.
• Design integrations between Echo and enterprise platforms (ServiceNow, knowledge sources, automation tools and future channel).
• Define and enforce API‑led and event‑driven integration patterns and security standards.
• Support architecture decisions on identity management, authentication, auditability, monitoring and compliance.
• Contribute to infrastructure strategies around cloud hosting, containerisation and platform services.
• Serve as the technical bridge between business, delivery and engineering teams.
• Articulate complex technical concepts clearly to non‑technical stakeholders.
• Support programme leadership in strategic planning and technical decision‑making.
• Build trusted relationships across architecture, platform and delivery teams globally.
• Support requirement definition and scope clarification.
• Identify technical dependencies and risks early, ensuring they’re managed proactively.
• Participate in estimation and delivery planning activities.
• Provide technical leadership in ambiguous or rapidly evolving situations.
• Proven experience as a Solution Architect, Enterprise Architect or Lead Technical Architect.
• Track record in large‑scale enterprise platform design and systems integration.
• Deep knowledge of application, data, integration and infrastructure architecture.
• Ability to produce clear architecture deliverables for both technical and executive audiences.
• Practical experience with some of the following:
• Generative AI platforms and services
• Model Context Protocol (MCP)
• RAG pipelines, vector databases, knowledge graph design
• Prompt orchestration, AI security and governance
• API‑led and event‑driven architecture
• Strong understanding of:
• Cloud‑native architecture patterns
• Containers and Kubernetes
• Microservices design
• API management
• DevOps and CI/CD pipelines
• Security architecture principles
• Monitoring and observability best practices
• Analytical and structured thinking with a solution‑oriented mindset.
• Ability to translate complex technical topics into clear business value language.
• Confident communicator and presenter to senior stakeholders.
• Resilient and adaptable in fast‑moving environments.
• Pragmatic, decisive and collaborative across global teams.
• Excellent written and spoken English is essential.

Project details

• Start: ASAP
• Location: Kraków, PL
• Rate: 138-163 EUR/h