Hiring: Manager, Software Engineering (AI Platform Engineering ) Company: Ripple Location: Chicago, IL Job Posted Time: 2026-09-03 10:25:14 Employment Type: Full-time Target Skills & Keywords : .NET, Azure, CI/CD, LLM, Python, R, RAG, REST, Redis, SaaS, Swift, Systems Design, Vault About the job Experience: •40 years of experience supporting some of the world’s largest and most sophisticated companies. Integrating its treasury command center into Ripple’s technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella. •7+ years of software engineering experience with at least 2 years building and operating AI/ML systems in production environments (not prototypes or demos) •2+ years of engineering management experience, including hiring, coaching, and growing engineers •At least 2 years building and operating AI/ML systems in production environments (not prototypes or demos) Required Skills: •This is a hands-on leadership role where you will write code and ship features alongside your team while defining the technical direction of AI across Ripple Treasury. The outputs of your platform reach CFOs and treasurers at major global banks — accuracy, reliability, and trust are non-negotiable. •Own the GSmart AI platform — design, build, operate, and evolve the production AI middleware serving enterprise treasury clients, including inference endpoints, prompt pipelines, and context engineering architecture. •Build and lead a high-performing team of up to four AI platform engineers, coaching direct reports, managing performance, and fostering a culture of engineering rigor. •Write and maintain production prompts using context engineering principles — structured prompt design and data transformation rather than retrieval-augmented generation. •Build evaluation frameworks as first-class engineering — create eval rubrics, golden datasets, LLM-as-a-judge pipelines, and CI/CD-integrated quality gates for every AI feature. •Partner with authorities across treasury domains (cash forecasting, payments, risk management) to understand business logic and build domain-accurate evaluations. •Advocate for generative AI adoption across Ripple Treasury solution areas, educating product and engineering teams on what AI can and cannot do in regulated financial contexts. •Operate and maintain cloud infrastructure — Azure Container Apps, API Management, Key Vault, Redis, and Langfuse observability for the AI platform. Qualifications: •Applied hands-on capability in LLM-based systems in production — prompt engineering, inference optimization, and production monitoring at scale •Strong evaluation engineering skills — experience building golden datasets, eval rubrics, or automated evaluation pipelines for AI system quality •Cloud infrastructure expertise — experience deploying and operating containerized services on Azure (or equivalent cloud), including CI/CD pipelines •Proficiency in Python for AI workflows (agentic flows, context engineering, data transformation) and familiarity with .NET backend systems •Excellent communication skills — ability to explain AI capabilities and limitations to non-technical partners in clear, concrete terms •Comfort working in regulated environments where outputs must be accurate, auditable, and trustworthy •Operational familiarity with AI governance frameworks (ISO/IEC 42001, EU AI Act, NIST AI RMF) or model risk management practices •Background in financial services, treasury, or enterprise SaaS •Contributions to AI evaluation tooling or open-source AI infrastructure projects Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!