AI Workflow Architect

hace 1 semana


Madrid, España CRAFT A tiempo completo

We are seeking a forward-thinking AI Workflow Architect to design and implement scalable AI-powered workflows across business units. This role combines deep technical knowledge of AI/ML technologies with a strong understanding of business processes to architect intelligent systems that improve efficiency, reduce operational friction, and unlock new capabilities across the enterprise. You will serve as a key link between technical engineering teams, data scientists, and business stakeholders to build AI-driven automation pipelines, orchestration layers, and decision systems. You’ll also be responsible for ensuring governance, scalability, and sustainability of these workflows. Key Responsibilities •Workflow Design & Architecture • Architect end-to-end AI workflows from data ingestion to model deployment and decision-making. • Design orchestration strategies using tools like Airflow, Prefect, or custom solutions. • Define interfaces between AI models, APIs, business logic, and human-in-the-loop components.• Integration & Automation • Integrate AI systems into business operations using APIs, RPA tools, and platform-specific SDKs (e.g., OpenAI, Google Vertex, Azure AI).• Collaborate with IT and DevOps teams to embed workflows within enterprise software ecosystems (CRM, CMS, DAM, ERP).• Cross-functional Collaboration • Partner with product, marketing, operations, and engineering teams to identify automation opportunities.• Translate business needs into technical solutions and ensure successful stakeholder adoption.• Governance & Compliance • Establish monitoring, auditing, and fallback mechanisms to ensure reliability and ethical use of AI.• Define and enforce best practices around model versioning, data privacy, explainability, and human oversight.• Innovation & Strategy • Stay updated with the latest trends in generative AI, workflow orchestration, and MLops.• Recommend emerging tools and platforms that align with strategic AI goals.Required Qualifications • Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering, or related field. • 5+ years of experience in software architecture, AI engineering, or automation design. • Hands-on experience with AI/ML lifecycle tools (e.g., MLflow, LangChain, Hugging Face). • Strong understanding of workflow orchestration systems (e.g., Apache Airflow, Kubernetes, Zapier, n8n). • Familiarity with large language models (LLMs), computer vision, NLP, and multimodal AI applications. • Proficiency in Python, APIs (REST/GraphQL), and cloud infrastructure (AWS, GCP, Azure). Preferred Qualifications • Experience with RPA platforms (UiPath, Automation Anywhere) and enterprise integrations. • Exposure to low-code/no-code automation platforms. • Experience with prompt engineering and fine-tuning LLMs. • Knowledge of data governance, security, and ethical AI principles. #LI-PT1


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