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Jobright.ai

Senior Risk Data Engineering, AI Manager

Jobright.ai, Salt Lake City, Utah, United States, 84193

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: SoFi is a next-generation financial services company and national bank that is transforming personal finance through innovative technology. The role of Risk Data Engineering, AI Manager involves building and optimizing scalable, real-time applications powered by Generative AI, while collaborating with cross-functional teams to deliver high-value solutions. The ideal candidate should possess extensive experience in full-stack engineering and AI-driven application development. Responsibilities: • Architect, design, and build end-to-end GenAI-powered applications using rich interactive user-interfaces with your expertise working with information from Snowflake (including leveraging Snowflake Cortex for advanced AI workloads). • Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices. • Design and implement multi-agentic AI applications leveraging LangChain and LangGraph, enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving • Own technical decompositions of new product requirements; lead delivery from ideation to deployment and continual improvement. • Deploy, optimize, and monitor Generative AI workflows on enterprise frameworks Automate real-time and batch data flows using orchestration tools such as Apache Airflow. • Participate in technical architecture reviews, code and design reviews, and help guide technical decision-making for AI-driven services. • Collaborate with Product, Design, and Engineering to deliver high-impact solutions; mentor peers and foster a growth-mindset environment. • Stay current with GenAI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach. Qualifications: Required: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. • 9+ years of professional software engineering experience, with heavy focus on full-stack custom product delivery specializing in AI • Solid devops and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management. • Advanced proficiency in React, Node.js, and front-end–to–back-end custom app development. • Extensive hands-on experience with Snowflake, including advanced features, AI/ML integrations, and Snowflake Cortex. • Deep expertise in orchestrating real-time and scheduled pipelines with Airflow. • Demonstrable expertise with AWS SageMaker and Bedrock for developing, training, and deploying machine learning models, especially those involving large language models or generative AI workflows. • Track record of delivering high-quality, production-grade, scalable, and highly available cloud-based services. • Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders. • Willingness to take ownership, mentor others, and champion learning and innovation within the organization. Preferred: • Exposure to other cloud-native or AI workflow orchestration platforms. • Prior fintech or high-throughput consumer product experience. • Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms. Company: SoFi is a finance company that offers a range of lending and wealth management services. Founded in 2011, the company is headquartered in San Francisco, California, USA, with a team of 1001-5000 employees. The company is currently Public Company. SoFi has a track record of offering H1B sponsorships. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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