> Markdown version of [/jobs/ext/4083765-ai-workflow-architect](https://www.wearedevelopers.com/jobs/ext/4083765-ai-workflow-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Workflow Architect - **Company:** Annapurna HR Ltd - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Python (Programming Language), Automation of Marketing, Software Engineering, Data Streaming, Systems Integration, AI Platforms, Kubernetes, Machine Learning Operations - **Published:** October 31, 2026 - **Apply:** https://www.adzuna.de/details/5945165228 ## About the Role * Strong experience designing complex workflow, automation, integration, or platform architectures * Hands-on experience with AI, GenAI, orchestration frameworks, automation platforms, or machine learning systems * Professional software engineering experience with Python and related tooling * Experience building production-ready solutions rather than purely experimental prototypes * Knowledge of workflow automation, APIs, cloud technologies, and systems integration * Ability to simplify complex processes and create scalable operating models * Experience driving cross-functional projects involving technical and non-technical stakeholders * Strong problem-solving and systems-thinking mindset * Passion for emerging technology and practical AI adoption ## Description * Designing end-to-end AI workflow architectures that integrate multiple systems, tools, and platforms * Building scalable automation pipelines that improve efficiency and reduce manual effort * Creating internal tools, utilities, and workflow components to support production teams * Developing AI-enabled solutions that move from prototype to enterprise deployment * Orchestrating data flow between AI services, content systems, cloud platforms, and operational environments * Evaluating emerging technologies and integrating them into existing ecosystems * Improving workflow reliability, maintainability, and performance across complex environments * Creating reusable standards, frameworks, and implementation patterns that can be adopted across multiple teams * Acting as the bridge between technical, operational, and business stakeholders