Manager, Software Engineering (AI Platform Engineering )

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena. GTreasury has more than 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. Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value. The Opportunity The GSmart AI platform is Ripple Treasury's production AI middleware layer — the infrastructure that enables generative AI capabilities across the entire product suite. As Manager of AI Platform Engineering, you will own this platform end-to-end: building new AI inference endpoints, writing prompts and evaluations, and expanding generative AI integration into solution areas that haven't previously used AI. You will also build and lead a team of up to four engineers. 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. What You'll Do 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. Ensure compliance with AI governance frameworks relevant to regulated financial services, including ISO/IEC 42001, EU AI Act, and SWIFT CSCF. Drive AI-assisted engineering practices — champion daily use of AI coding tools (Claude Code, Copilot, Cursor) across the team and broader engineering organization. Recruit exceptional engineers — partner with talent acquisition to identify, interview, and hire AI platform engineers as you scale the team. What You Bring 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 Hands-on experience with ... (truncated, view full listing at source)