Senior AI Software Engineer Manager, Risk Engineering

The role:

As a Senior Manager - AI Software Engineer, you will play a critical, hands-on role in managing a high-performing team while building, deploying, and optimizing scalable, real-time, full-stack custom applications, from traditional workflows and user interfaces, to applications powered by the latest advances in AI. You are a seasoned and experienced full-stack engineer with deep expertise in designing and delivering software solutions from the UI to the data back-end. You roll up your sleeves to have a “code first” approach. You will work across cross-functional delivery teams to shape technical architecture, champion engineering best practices, lead technical design, mentor engineers, drive product management engagement, and ensure successful delivery of high-value solutions for our users.

What you’ll do: 

• Own the end-end full-stack engineering infrastructure, and drive technical delivery from ideation and requirements decomposition through to deployment and continual improvement, ensuring alignment with product and business goals.
• Engage with product, design, and business stakeholders to align technical strategy, drive decision-making, and deliver high-impact solutions.
• Architect, design, and build end-to-end user-facing applications using rich interactive user-interfaces. You will remain hands-on, leveraging your expertise working with information extracted from databases and APIs (including native database functions such as Snowflake Cortex for advanced AI workloads).
• Participate in the design of and partner with AI specialists in the implementation of production-grade, scalable multi-agentic AI applications enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving.
• Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.
• Deploy, optimize, and monitor workflows on enterprise frameworks.
• Automate real-time and batch data flows using orchestration tools such as Apache Airflow.
• Lead code and design reviews, making critical technical decisions for AI-driven services.
• Stay current with software engineering, AI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.
• Lead and mentor a team of talented software engineers, fostering a culture of technical excellence, ownership, and innovation.

What you’ll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 9+ years of professional software engineering experience, with a heavy focus on full-stack custom product delivery, including experience leading engineering teams, projects, or functions.
• Proven track record of simultaneously delivering high-quality, production-grade, scalable, and highly available cloud-based services, and managing project and delivery milestones.
• 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 database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.
• Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.
• Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders, including product management.
• Willingness to take ownership, mentor others, and champion learning and innovation within the organization.

Nice to have:

• Prior fintech or high-throughput consumer product experience.
• Exposure to cloud-native or AI workflow orchestration platforms.
• Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.