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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # technical and consultative Lead AI Solutions Engineer/Architect - **Company:** ITC GmbH - **Location:** Kriftel, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Microsoft Azure, Cloud Computing, Information Engineering, DevOps, Machine Learning, Performance Tuning, Azure Machine Learning, Data Processing, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Generative AI, Containerization, Data Lakes, Pyspark, Kubernetes, Deployment Automation, Cosmos DB, Machine Learning Operations, Serverless Computing, Docker, Databricks - **Published:** August 21, 2026 - **Apply:** https://www.jobfinder.de/job/ai-platform-architect-m-w-d/ ## About the Role Operations. Required Skills & Experience: Technical Expertise - AI & GenAI: Deep understanding of Machine Learning fundamentals, Deep Learning, Large Language Models (LLMs), Fine-Tuning, RAG (Retrieval-Augmented Generation), and Agentic Frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel). - Cloud Platform: Advanced hands-on experience with Microsoft Azure (Azure OpenAI Service, Azure ML, Azure Functions, Azure Cosmos DB/Vector Stores). - Data Engineering: Strong proficiency in Databricks (PySpark, Delta Lake, MLflow, Unity Catalog) for data processing and model deployment. - DevOps/MLOps: Experience setting up CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring for AI workloads. Core Competencies - Consultative & Analytical Mindset: Strong capability to dissect hype, assess technical feasibility, and prioritize business impact. - Communication: Exceptional verbal and written communication skills to manage stakeholders, lead technical reviews, and articulate complex solutions clearly. Preferred Experience - Proven track record of working on Microsoft Azure and Databricks platforms. - 5+ years of experience in Data Science, Machine Learning, or AI Engineering. - 2+ years of hands-on experience designing and deploying GenAI/Agentic solutions in enterprise environments. Our X-Factor - Work ethic: You are a consummate professional. - Aptitude: You have an innate capacity to transition from project to project without skipping a beat. - Communication: You have excellent written and verbal communication skills for coordination across projects and teams. - Impact: You are a critical thinker with an emphasis on creativity and innovation. - Passion: You have the drive to succeed paired with a continuous hunger to learn. - Leadership: You are trusted, empathetic, accountable, and empower others around you. At ITC Infotech we believe diversity drives innovation and makes us stronger. We welcome applications from people of all backgrounds, abilities, and experiences - including those living with disabilities or long-term health conditions. If you need any adjustments during the recruitment process, just let us know and we'll work with you to make it happen. Tid-1 ## Description stakeholders on AI feasibility, ROI, risk, and expected outcomes with confidence and clarity. Hands-on Development & Deployment: - Design, build, test, and deploy robust AI solutions spanning Generative AI, Agentic workflows, and traditional machine learning models. - Integrate solutions seamlessly within Microsoft Azure and Databricks ecosystems. Infrastructure, Guardrails & Experimentation: - Provision and manage the required Azure/Databricks cloud infrastructure to enable safe sandbox experimentation for users. - Implement governance, security protocols, Responsible AI guardrails, cost-tracking, and telemetry across all AI deployments. Stakeholder Management: - Communicate complex technical concepts effectively to non-technical business leaders and operational teams. - Drive alignment across cross-functional enterprise teams, including IT, Data Engineering, Security, and Business ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)