AI Solutions Architect for Data-Driven Apps

IQVIA; Warszawa; On-site; PLN 142,000 - 264,000; Full time

Job summary

IQVIA is seeking a hands-on Data & AI Consultant / Solution Builder to design, build, and deliver production-grade applications and AI-driven solutions. This is not a traditional reporting or BI role; the focus is on producing real products, APIs, and automation that improve commercial decision-making and operational effectiveness.

You will work at the intersection of software engineering, data engineering, and AI, translating business requirements into scalable, practical solutions while

Qualifications

• 2–4 years of experience in software or data engineering or related consultant roles.
• Hands-on builder mindset with end-to-end project exposure.
• Ability to translate business requirements into technical solutions.

Responsibilities

• Support the development of end-to-end applications from data ingestion to APIs and UI.
• Build scalable, production-ready software solutions.
• Own workstreams from prototype to production deployment and support.
• Design and implement AI-powered solutions, including LLM apps and automation.
• Integrate AI capabilities into commercial and operational processes.
• Develop data pipelines, semantic models, and data assets.
• Collaborate with Commercial Operations and Sales to deliver high-impact solutions.

Skills

Python

SQL

REST APIs

SSO concepts

Git (GitLab)

OpenAI / Azure AI / Anthropic

RAG

Agent-based solutions

Structured AI workflows

React

TypeScript

Data pipelines

APIs & backend

Tools

SQL Server

Azure

Snowflake

Databricks

Microsoft Fabric

Power BI

Job description

IQVIA is seeking a hands-on Data & AI Consultant / Solution Builder to design, build, and deliver production-grade applications and AI-driven solutions. This is not a traditional reporting or BI role; the focus is on producing real products, APIs, and automation that improve commercial decision-making and operational effectiveness.

You will work at the intersection of software engineering, data engineering, and AI, translating business requirements into scalable, practical solutions while