Staff AI Engineer at SoFi, focused on designing, developing, and scaling agentic AI systems for risk management and internal workflows. This role involves architecting multi-step reasoning systems, designing user experience layers, context engineering, productionizing AI services, and building observability and evaluation frameworks. Requires strong backend engineering, LLM experience, and system design skills in a financial services context.

This role is for an AI Solutions & Delivery Manager in the Business Controls Group at SoFi, a financial services company. The manager will lead the application of AI, including Generative AI and Agentic AI, to risk and control operations. Responsibilities include defining AI strategy, designing, developing, and deploying AI-powered solutions (like LLM agents and automated analysis), managing the AI product lifecycle, stakeholder engagement, and ensuring governance, risk, and compliance within a regulated environment. The role requires technical leadership in evaluating and integrating AI tools and platforms, with a focus on improving control testing, reporting, and overall process efficiency.

Seeking an experienced AI Automation Lead to architect and deliver a multi-agent AI strategy, moving beyond simple chatbots to autonomous, stateful workflows. This full-stack role involves designing and implementing agentic workflows, building human-in-the-loop systems, integrating Snowflake Cortex, developing complex UIs with React, building scalable Python backend services, orchestrating workflows with Airflow, and managing data pipelines with Snowflake and dbt. The lead will also own infrastructure as code, CI/CD, and optimize LLM usage, while providing technical leadership, code reviews, and mentorship.

Principal Software Engineer at SoFi to lead the technical and architectural evolution of Member Growth platforms, focusing on architecting agentic and AI-driven systems for member acquisition and engagement in a regulated financial environment. The role involves defining evaluation strategies, ensuring quality, safety, and compliance of AI workflows, and driving the next generation of campaign automation and communication platforms.

SoFi is seeking a Staff Data Scientist to lead the evolution of their Home Loan and Home Equity risk frameworks. This role involves designing and implementing ML models for credit underwriting, debt-to-income validation, and automated appraisal reviews. The candidate will provide technical oversight for externally developed models, present insights to leadership, collaborate with governance teams on regulatory compliance, and partner with Product and Engineering for model operationalization, deployment, and monitoring. The role also requires continuous exploration of ML frameworks to build proprietary mortgage risk tools.

This role leads the Modeling & AI Enablement function within Marketing Data Science, focusing on building AI-driven competitive advantage and accelerating enterprise AI adoption. It involves defining strategy, developing AI-powered tools and platforms, guiding model development, ensuring responsible AI practices, and leading a team of data scientists. The role partners with Engineering, Marketing Technology, Risk, and Governance stakeholders.

Seeking an experienced engineering leader to define the architecture and technical strategy for a customer-facing AI agent for financial guidance, leading its implementation and ensuring quality, reliability, observability, safety, and compliance in a regulated environment. Requires 10+ years of software engineering experience, including 2+ years building AI Agents for millions of users, with strong expertise in system architecture, platform design, and cross-org technical strategy.

Senior Full Stack Engineer at SoFi to develop, deploy, and optimize enterprise-grade, full-stack custom applications. This role involves architecting and building user-facing software, managing deployment pipelines, collaborating with AI engineers on multi-agentic AI applications, and automating data flows. The position requires expertise in full-stack frameworks, DevOps, Snowflake (including Cortex), and Airflow, with a focus on delivering scalable, highly available cloud-based services.

Staff Software Engineer, AI role at SoFi focused on bringing AI/ML to Member Growth through advanced personalization and AI-driven solutions. This role involves leading the development of internal frameworks, tools, and applications for marketing, communications, and measurement systems, supporting members' financial journeys. The engineer will be involved in the entire product lifecycle, from ideation to deployment, and will mentor other engineers.

Senior Staff Software Engineer to join Builder Tools engineering to lead the direction and architecture of AI-powered software testing experience, and elevate product reliability through testing infrastructure innovations and practices. This role involves technical leadership in AI powered agentic testing (autonomous test generation, execution, failure remediation), and foundational test infrastructure.

Senior Staff Software Engineer to join Builder Tools engineering to enable SoFi engineers to solve problems using AI-powered SDLC, elevating developer experience through AI enabled workflows, tooling, and practices. Role involves technical leadership, innovation, mentorship, and influencing adoption of AI powered SDLC tooling.

Staff Full Stack Engineer at SoFi, focusing on architectural leadership for enterprise-scale, full-stack ecosystems with a strong emphasis on integrating AI and agentic systems. The role involves designing and deploying complex applications, orchestrating AI-native database functions, implementing multi-agentic workflows for business challenges, and leading the translation of product requirements into technical specifications. Requires 8+ years of experience, proficiency in React/Node.js, data/AI infrastructure (Snowflake preferred), pipeline orchestration (Airflow), and DevOps (GitOps, ArgoCD, GitLab CI/CD).

Principal Software Engineer to lead the technical strategy and architecture of an internal developer platform in an AI-first SDLC, enabling engineers with AI-enabled development practices and tooling. Focus on technical leadership, strategic partnership, innovation, and operational excellence in AI tools, infrastructure, and agent frameworks.