AI & Automation Solution Architect
Workplace: Wrocław
Together, we move the world—we’ve been doing it for over 100 years. As a leading international development partner and systems supplier to the automotive industry, we are passionate about developing innovative solutions for the mobility of tomorrow. Join our MAHLE team! #StrongerTogether
Your role & responsibilities:
- Responsible for the architecture, integration, and design for the following solution platforms/technologies: Machine Reasoning (Arago Hiro), Machine Learning (Dataiku), Automation including Robotics (RDA / RPA with UiPath) and Command Line Interfaces (CLI with Red Hat Ansible), Conversational AI (Chat Bots, NLP, NLU, with Cognigy), Data / Process Mining (with Celonis)
- Reviewing technical solutions from a data security and access rights (SoD) perspective
- Collaborating with Business to reimagine and simplify processes
- Creating and promoting design principles and standards for developing and executing digital AI and automation processes
- Performing assurance and signing off final deliveries and initiates deployment planning
- Leading initiative to build re-useable assets and artifacts
- Managing digital automation assets and repository (e.g. licenses, bot scripts, templates, standards etc.)
- Monitoring emerging industry trends to determine impact on the enterprise solution architecture and technology, and advise strategic direction
- Providing guidance on the required infrastructure to the IT infrastructure team
- Facilitating training sessions for business users and IT on as needed basis
Your skills & strengths:
- Strong understanding of technologies, programming concepts and background in programming: API: REST, Web ServicesHTTP/HTTPS methods: GET, POST, PUT, DELETELanguages (programming, functional, markup and scripting): Python (3.6 and above), JavaScript (ECMAScript 5 & 6), BASH, XML, XAML, HTMLData standards: JSON, OData, YAML, INI o Programming practices: OOP, inference, JavaScript Promise, State Machine o Frameworks: ▪ Node.js with Express, Axios, easy-soap-request (or similar) ▪ Flask o Containerization: Docker + Kubernetes o Legacy IT environment: Linux (CentOS, SUSE, RHEL), Windows 10, Windows Server 2016 (and above)Databases: PostgreSQL, Neo4j, Oracle
- Strong understanding of process and technical design (focused in GUI, CLI, API and Agent based automation)
- Very good knowledge on Artificial Intelligence: Reasoning System (Expert System), Machine Learning (categories)
- Strong software troubleshooting skills and understanding of programming constructs
- Application development, e.g. coding languages like .Net, VB, C+
- Project Management experience
- Fluency in English
- Excellent understanding of automation methods and concepts
- Developer certification for UiPath and/or Redwood is a major plus
- Knowledge of ERP systems (SAP) is a major plus
- Process modelling skills are a plus
- Green Belt certification is a plus