Senior Azure AI Engineer - Risk Technology #3549393
16 days ago
Jersey City
Job Description Be Part Of A High-Performing Risk Technology Team: This opportunity sits within a leading global financial institution’s Risk Technology division, supporting enterprise-scale initiatives across market and credit risk platforms. The team operates at the intersection of advanced analytics, artificial intelligence, and large-scale data engineering, enabling smarter decision-making and operational efficiency across the organization. The Risk Technology group is known for delivering secure, scalable, and forward-thinking solutions within a highly regulated financial environment. With a focus on innovation and modernization, the team is actively integrating generative AI, conversational AI agents, and intelligent automation into enterprise systems. The environment is collaborative, fast-paced, and deeply technical—bringing together AI engineers, data engineers, application developers, and risk stakeholders to build next-generation AI capabilities on Azure. What’s In Store For You: • Exposure to enterprise-grade AI initiatives within a global banking environment., • Opportunity to design and deploy cutting-edge generative AI and conversational AI solutions., • Collaboration with cross-functional teams across Risk, Engineering, and Application Development., • Design, develop, and deploy intelligent conversational AI solutions leveraging Azure AI technologies and Databricks., • Build and manage enterprise-grade AI agents to support automation and advanced conversational use cases., • Develop reusable AI components and pipelines within Azure AI Studio and Databricks for scalable deployment., • Integrate AI services into web and enterprise applications using Python frameworks such as FastAPI, Django, and Flask., • Create secure RESTful APIs, async workers, and SDK-based integrations for AI services., • Architect and maintain secure MLOps pipelines including model registry controls, deployment security, and runtime monitoring., • Monitor and optimize LLM and NLP model performance for reliability, scalability, and accuracy., • Ensure compliance with data privacy, security, and enterprise governance standards., • 10+ years of experience in software engineering, AI engineering, or machine learning engineering roles., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • Proven hands-on experience with Azure AI services including Azure OpenAI, Azure AI Studio, Azure Bot Service, Cognitive Services, and Copilot., • Strong experience with Databricks (including Databricks Genie) and enterprise AI agent development., • Deep understanding of NLP, LLM architectures, prompt engineering, and model evaluation techniques., • Strong Python programming skills with experience in FastAPI, Django, or Flask., • Experience building secure REST APIs and integrating AI services into enterprise applications., • Expertise in MLOps including CI/CD, model deployment, monitoring, and runtime security in Azure environments., • Experience with Azure Machine Learning and Azure DevOps/GitHub CI/CD pipelines., • Familiarity with MCP for secure AI integration with external APIs and tools., • Microsoft Certified: Azure AI Engineer Associate (or equivalent)., • Databricks Certified: Generative AI Engineer Associate (or equivalent)., • Experience with prompt lifecycle management and AI model governance., • Experience working in financial services or other regulated industries., • Strong communication skills and ability to operate in cross-functional agile teams.