Senior 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 :

Nice to have :

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page!

Pay range : $198,400.00 - $341,000.00

Payment frequency : Annual

This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.