Senior AI Automation Architect: Agentic AI & RAG

IQVIA; Warszawa; Hybrid; PLN 227,000 - 421,000; Full time

Job summary

IQVIA is seeking a hands-on AI Architect to design, govern, and scale enterprise-grade Agentic AI, Copilot, and Intelligent Automation solutions. The role spans architecture, data strategy, governance, and scalable AI delivery across enterprise systems.

Responsibilities include architecture reviews, leadership on Python-based AI platforms, and collaboration with cross-functional teams to deliver measurable business impact.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of software engineering experience with at least 3 years in AI/ML, Generative AI, Agentic AI, Copilot, or Intelligent Automation solutions.
• Strong expertise in Python and building enterprise AI applications.
• Experience with FastAPI, LangChain, LangGraph, Pandas, and related frameworks.
• Hands-on experience with AI development tools like GitHub Copilot and Microsoft 365 Copilot.

Responsibilities

• Design, govern, and scale enterprise-grade Agentic AI, Copilot, and Intelligent Automation solutions.
• Architect multi-agent systems including planning, reasoning, memory management, workflow orchestration, and tool integration.
• Define enterprise AI strategy, reference architectures, governance, and reusable accelerators.
• Lead AI platform decisions spanning models, data, orchestration, and integration patterns.
• Collaborate with product, security, data, and business stakeholders to deliver measurable business impact.

Skills

Python

AI/ML

Communication

APIs

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

FastAPI

LangChain

LangGraph

Pandas

GitHub Copilot

Microsoft 365 Copilot

Docker

Kubernetes

Job description

IQVIA is seeking a hands-on AI Architect to design, govern, and scale enterprise-grade Agentic AI, Copilot, and Intelligent Automation solutions. The role spans architecture, data strategy, governance, and scalable AI delivery across enterprise systems.

Responsibilities include architecture reviews, leadership on Python-based AI platforms, and collaboration with cross-functional teams to deliver measurable business impact.