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 youll 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 and implementation of production-grade scalable multi-agentic AI applications leveraging frameworks like LangChain / LangGraph 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 youll need:

• Bachelors or Masters 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 and front-endtoback-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.

Required Experience:

Manager