AI Systems Architect - Secure, Scalable LLM Solutions

Talan Group; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work in Warsaw

Professional growth

Multicultural team

Private medical insurance

Job summary

Talan is seeking an experienced AI Architect to design end-to-end AI solution architectures, focusing on security, scalability and regulatory compliance. You will define standards, governance for models and data, and collaborate with security, compliance, and business teams.

Based in Warsaw, hybrid setup, you will drive architecture decisions across the AI domain and mentor teams on LLMs, ML, and deployment patterns in regulated environments.

Qualifications

• Experience designing end-to-end AI architectures (LLMs and ML).
• Understanding of open source vs commercial models, on-premise vs cloud considerations.
• Experience with GPUs, large-scale model serving, networking and on-prem deployment.
• Knowledge of data privacy, AI governance and access control.
• Ability to translate business requirements into technical architecture and justify decisions.
• Fluent in English and Polish.
• Owns the architecture of the AI domain and advises leadership.

Responsibilities

• Design end-to-end AI solution architectures (LLMs and traditional ML).
• Make key technology decisions, including build vs buy, model selection, and integration patterns.
• Define standards, best practices, and governance frameworks for models and data.
• Collaborate with security, compliance, and business teams to ensure regulatory adherence.

Skills

AI systems architecture

Model ecosystem knowledge

AI infrastructure

Security & compliance

Requirements translation

English & Polish proficiency

Architectural leadership

Job description

Talan is seeking an experienced AI Architect to design end-to-end AI solution architectures, focusing on security, scalability and regulatory compliance. You will define standards, governance for models and data, and collaborate with security, compliance, and business teams.

Based in Warsaw, hybrid setup, you will drive architecture decisions across the AI domain and mentor teams on LLMs, ML, and deployment patterns in regulated environments.