Looking for an experienced Senior Cloud AI/ML Engineer to lead the automation of complex financial workflows at Prosigliere.Description We are seeking a Senior Cloud AI/ML Engineer with a \"cloud-first\" mindset to join our growing team. In this role, you won't just build models; you will architect end-to-end intelligent systems that redefine how we handle financial data. You will be responsible for analyzing manual credit request processes and identifying opportunities to automate them using cutting-edge cloud AI services. The ideal candidate bridges the gap between raw data and actionable business intelligence, building tools that ingest high-stakes data from credit agencies, analyze it through sophisticated AI pipelines, and present it via human-in-the-loop dashboards. You will work closely with engineering leadership to turn manual bottlenecks into scalable, automated cloud solutions.Responsibilities Process Architecture:Analyze existing credit request workflows to identify automation opportunities using cloud-native AI/ML solutions. Intelligent Data Ingestion:Design and implement processes utilizingDocument Intelligence(OCR/Form parsing), andWeb Searchintegration to gather and structure fragmented data. Third-Party Data Synthesis:Build tools to ingest and analyze complex results from credit agencies (e.g.,D&B, Experian, Equifax ) to drive automated decision-making. Custom Tooling:Develop custom software bridges to fill gaps between standard cloud AI services and specific business requirements. Human-in-the-Loop Systems:Create intuitive dashboards that visualize AI-driven analysis, allowing human reviewers to audit and approve automated recommendations. Cloud Deployment:Deploy and maintain robust MLOps pipelines in a cloud environment, ensuring high reliability and security for sensitive financial data. Cross-Functional Collaboration:Communicate technical AI concepts to non-technical stakeholders and collaborate with backend teams to ensure seamless data flow.Technology Requirements 5+ years of experiencein software engineering with a heavy focus on Cloud AI/ML implementations. Cloud-First Expertise:Proven experience withVertex AI (GCP) ,Azure AI, orAWS SageMaker, specifically utilizing high-level AI services (Document AI, Search/Discovery, etc.). Data Integration:Proficiency in building API integrations and data pipelines that handle structured and unstructured data from external financial vendors. Python Mastery:Expert-level Python skills, including experience with LangChain, LlamaIndex, or similar frameworks for building agentic AI workflows. Visualization:Experience building data dashboards using tools like Streamlit, Looker, or custom React-based frontend components. Security Mindset:Deep understanding of handling sensitive PII (Personally Identifiable Information) within cloud environments.Profile Requirements Solution Architect Mentality:Ability to look at a manual business process and map it to a technical AI roadmap. Independent Problem Solver:A self-starter who can build \"the bridge\" when a standard out-of-the-box tool doesn't exist. Strong Communication:Ability to explain why an AI made a specific recommendation to stakeholders. Agile Learner:A commitment to staying current with the rapid pace of LLM, RAG, and Agentic AI developments. AI Tooling:Proficiency with AI-first engineering approaches and tooling is a plus. If you are familiar with the Cognition platform with Windsurf and Devin, that is even better. Certifications:Google, Azure or AWS Cloud AI certifications are a big plus!