Piotr Piotrowski

AI Lead & Agile Delivery Lead

Piotr Piotrowski specializes in Generative AI with a focus on SDLC. He brings extensive experience in Project Management and Product Ownership. He also brings deep knowledge in Programming and Team Leadership. Piotr has guided major technical initiatives across various professional sectors. He successfully directed confidential projects within the global automotive industry. He also managed implementations for the German Department of Justice. His professional credentials include the Certified SAFe 5 Agilist designation. He also holds recognized Professional Scrum certifications for agile practices. These qualifications demonstrate his ability to drive successful AI transformations.
Certificates
AI Dev3 Reloaded
2025
AI Managers
2025
Certified SAFe 5 Agilist
2022
Professional Scrum Master
2019
Professional Product Owner
2019
Education
Master of Computer Science and Management
Politechnika Wrocławska
Specialization: Computer Science with specialization in Network Information Systems, Thesis: Smart data visualization using intelligent neural networks , 2003 – 2008

Specialization

Piotr Piotrowski specializes in Generative AI with a focus on SDLC. He brings extensive experience in Project Management and Product Ownership. He also brings deep knowledge in Programming and Team Leadership.

Piotr has guided major technical initiatives across various professional sectors. He successfully directed confidential projects within the global automotive industry. He also managed implementations for the German Department of Justice.

His professional credentials include the Certified SAFe 5 Agilist designation. He also holds recognized Professional Scrum certifications for agile practices. These qualifications demonstrate his ability to drive successful AI transformations.

AI Lead Agile Deliver Leadership Gen AI SDLC AI SDLC

Experience

October 2018 – present

Agile Delivery Lead and AI Lead

| Hicron
October 2018 – present

Owner

| Piotr Piotrowski Consulting
November 2016 – October 2018

Technical Project Manager

| ATOS
July 2015 – February 2016

Technical Project Manager

| manaTec GmbH
April 2012 – July 2015

Solution Architect

| ARTS Deutschland GmbH
October 2008 – April 2012

Software Development Engineer

| Nokia Siemens Networks
September 2007 – May 2008

Database Designer

| Business IT Solutions

Key Projects

Automotive

Quality Control of After-sales

He successfully directed confidential projects within the global automotive industry. He delivered a quality control system for the automotive industry. This application utilized Java and Angular technologies.

Automotive Project Management Angular Java
Public Sector

German Department of Justice

Guided the delivery of an administrative system. A European justice department uses this Java application for its daily operations.

Public Sector Java
Pharmaceuticals

Private Cloud Infrastructure Migration

He oversaw infrastructure delivery and cloud migration for a pharmaceutical enterprise. These projects utilized programming technologies like Java and Angular frameworks.

Private Cloud Angular Java Life Science

Featured Articles

How to Facilitate an Agent Discovery Workshop?

How to Facilitate an Agent Discovery Workshop?

An Agent Discovery workshop is a structured session that turns a broad problem space into a short list of automation scenarios, then into one or a few detailed candidates ready…

When AI PoC Evaluation Justifies Further Investment

When AI PoC Evaluation Justifies Further Investment

An AI PoC evaluation is valid when three conditions hold before the experiment begins: success criteria include a frozen economic baseline, test data is validated independently of the team against…

How to Use AI Safely in Your Company

How to Use AI Safely in Your Company

Safe AI adoption in a company is an organizational and technical discipline that governs what data enters language models, how outputs are reviewed, and how teams retain the competence to…

How Should Enterprises Govern Gen AI Before Scaling LLM Adoption?

How Should Enterprises Govern Gen AI Before Scaling LLM Adoption?

Generative AI governance is the combination of policies, technical controls, and organizational practices that define how an enterprise manages data classification, compliance obligations, and accountability when deploying large language models…

How RAG Architecture Changed: From PDF Chatbots to Context Engineering

How RAG Architecture Changed: From PDF Chatbots to Context Engineering

RAG (Retrieval-Augmented Generation) is an AI architecture approach that connects a language model to external knowledge sources so it can generate answers grounded in specific documents or organizational data. The…

What Is the Production Control Stack for AI-Generated Code?

What Is the Production Control Stack for AI-Generated Code?

The Production Control Stack is a framework for making AI-generated code safe to ship by combining three layers: checklists before generation, tests before deployment, and observability after release. It exists…

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