Senior AI Platform Architect & Technical Leader

Grant Thornton International; Województwo wielkopolskie; Hybrid; PLN 300,000 - 420,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Grant Thornton International seeks a technical owner for the Ascend platform team (Product Platform) to drive AI system architecture decisions for multi-agent platforms and AI services. You will mentor teams, establish standards for memory, grounding, and observability, and oversee Azure AI Foundry lifecycle and cost controls in a hybrid Poznań setting.

You will work on frontend and backend architecture with Django/FastAPI, distributed systems, and scalable API ecosystems, while collaborating

Qualifications

• Has 10–15 years of experience in full-stack development and technical leadership.
• Holds a bachelor’s degree in computer science, engineering, or a related field.

Responsibilities

• Defines AI system architecture for multi-agent platforms, AI services, and enterprise copilots.
• Reviews and approves AI architecture decisions across teams.
• Establishes context engineering standards across teams, including memory strategies and tool grounding approaches.
• Has strong experience with Azure AI Foundry, overseeing model lifecycle, cost controls, reliability, and scaling.
• Drives adoption of M365 Copilot Studio across enterprise scenarios with extensibility and governance in mind.
• Defines best practices for LLM observability, evaluation, and human-in-the-loop validation.

Skills

Full-stack development

Technical leadership

Frontend architecture

Backend architecture

Python ecosystem

Django

FastAPI

Distributed systems

Azure cloud architecture

DevOps & CI/CD

Observability

English & Polish fluency

Education

Bachelor's degree in computer science or related field

Tools

LangGraph

Azure AI Foundry

MCP-based architectures

Redis

Django

FastAPI

Azure cloud

Job description

Grant Thornton International seeks a technical owner for the Ascend platform team (Product Platform) to drive AI system architecture decisions for multi-agent platforms and AI services. You will mentor teams, establish standards for memory, grounding, and observability, and oversee Azure AI Foundry lifecycle and cost controls in a hybrid Poznań setting.

You will work on frontend and backend architecture with Django/FastAPI, distributed systems, and scalable API ecosystems, while collaborating