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