Applied AI Engineer, Ops

Alloy is where you belong! Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers. Through our values: Be Bold, Go Fast, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces , Forbes America’s Best Startup Employers , Best Fintech to Work for by American Banker , year after year. Check out our investors and read more about us here . About the team Alloy is looking for an Applied AI Engineer to sit within our centralized Ops team and drive meaningful AI transformation across the entire business. This is a high-impact, cross-functional role for someone who loves finding inefficiencies, designing elegant solutions, and enabling people to work smarter. You'll be the connective tissue between cutting-edge AI capabilities and the practical, day-to-day needs of our teams — identifying where automation and AI can reduce toil, accelerate workflows, and unlock capacity for higher-value work. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a week. What you'll be doing Identify high-impact automation and AI opportunities across the business, prioritized against strategic goals Design, build, and deploy AI-powered solutions — from lightweight automations to more sophisticated LLM-based workflows Partner with teams across Alloy to understand their pain points and translate them into scalable technical solutions Champion and enable AI adoption across the organization — running enablement sessions, building internal tooling, and helping teams become more self-sufficient Establish best practices, tooling standards, and frameworks for how Alloy builds and evaluates AI solutions Operate the internal stack like a product, running experiments, creating feedback loops, and continuously improving productivity across the whole organization. Measure the impact of what you ship and continuously iterate Who we’re looking for Hands-on experience building with LLMs and AI APIs (e.g. OpenAI, Anthropic, etc.) in production environments Strong engineering fundamentals — comfortable writing clean, maintainable code in Python or similar Experience with workflow automation tools (e.g. Zapier, Make, n8n, or custom-built pipelines) A business-minded approach: you think about ROI and impact, not just technical elegance Excellent communication skills — you can explain complex AI concepts to non-technical stakeholders and bring people along on the journey Comfort with ambiguity and a bias toward shipping Nice to have Experience in an ops, revenue operations, or business systems role Familiarity with data tooling (SQL, dbt, etc.) Background in a fast-growing startup environment You'll have a rare combination of autonomy and breadth — working across every team at Alloy, with a direct line to business impact. This isn't a role where you'll be handed a backlog. You'll define the roadmap, build the solutions, and see the results. We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us? Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your re