Senior AI Software Engineer Manager, Risk Engineering

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Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

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 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 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.

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!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected].

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.