About Us
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact.
About the Role
Riskified is seeking a Senior AI Engineer to join a talented and fast-moving AI Engineering team. We're the central hub for AI across Riskified, driving innovation and putting AI to work for every team and product in the company. AI already plays a foundational role in how Riskified operates, enabling rapid feature shipping, boosting non-technical team productivity, and underpinning much of the company's innovation.
About the Team
Our team takes on strategic, company-wide initiatives that shape Riskified's direction. We're a group of senior individual contributors who work hand in hand with a broad range of partners — product, business development, account management, and beyond — led by the organization's Chief Architect in close partnership with the CTO. Here, you can drive change not only in the technologies we adopt but in how the organization works. The role calls for more than engineering skill: you'll navigate the organization with ease and build effective relationships at every level, from engineers and managers to VP and C-suite leadership. If you thrive at the intersection of technical depth and broad organizational influence, this team is a rare canvas to make your mark.
Why Join Us?
This is a compelling opportunity to work at the forefront of the AI revolution, helping define and build the AI platform that will power Riskified's future. Together, we'll develop infrastructure for autonomous and interactive agents, establish guardrails and evaluation frameworks that ensure both performance and safety, and implement cutting-edge AI and agentic design patterns. The role is also a distinctive entry point into the AI space. For those who already have some background in AI infrastructure, it offers meaningful growth within a team that is guiding Riskified's transition from AI experimentation to fully productized, AI-driven solutions.
What You'll Be Doing
- Design, build, and maintain reusable AI capabilities — spanning models, tools, APIs, and platforms that support both internal operations and customer-facing products.
- Develop and maintain our internal MCP server, giving AI agents easy and secure access to Riskified's extensive data stores.
- Create and implement rigorous evaluation frameworks and AI guardrails to protect Riskified's value and ensure model reliability.
- Cultivate deep expertise and establish sustainable AI engineering practices across the organization.
- Champion AI readiness and track adoption company-wide to build lasting impact.
- Build and optimize RAG (Retrieval-Augmented Generation) systems.
- Own projects end to end — from gathering requirements from non-technical stakeholders through development, deployment, and ongoing operation.
- Serve as a consultant and advocate for AI engineering, guiding other teams in leveraging the platforms and tools you create.
- Collaborate with teams throughout Riskified to accelerate AI adoption and productization.
Qualifications
- 5+ years of solid backend and server-side development experience, building complex and highly scalable systems.
- Proven proficiency in at least one general-purpose language (Python preferred, though not required).
- A natural collaborator who builds trust across functions — comfortable working with product, business development, account management, and other non-technical partners, and able to translate between their needs and technical solutions.
- Strong product-oriented thinking, with the ability to elicit, refine, and prioritize requirements from non-technical stakeholders.
- A deep sense of ownership, some DevOps experience, and the drive to develop, deploy, and operate projects from start to finish.
- Able to navigate an organization and influence without authority — communicating effectively with engineers and managers as well as VP and C-suite leadership.
- A bias toward driving change: you spot opportunities to improve processes and accelerate technology adoption, and you act on them.
- High proficiency with AI-assisted coding tools such as Copilot, Cursor, or equivalents.
- Hands-on experience with public cloud platforms (AWS, GCP, or Azure).
- Fluency in written and spoken English.
Bonus Points If You
- Are experienced with agentic coding tools like Claude Code or Copilot CLI.
- Have familiarity with Strands Agents (or comparable agentic frameworks), RAG architectures, and Bedrock.
- Have worked with MCP (Model Context Protocol).
- Are comfortable operating in containerized environments.