Top AI & Machine Learning Jobs

Build and operate platforms that enable autonomous AI agents to deliver production software: extend AirDev and AirForge, design agent governance and event-driven integrations (Kafka, webhooks, APIs), and ensure production reliability on Kubernetes with monitoring, CI/CD, and incident response.

Lead global design, governance, and deployment of quantitative financial crime detection models and risk-rating engines. Translate regulatory requirements into algorithmic controls, calibrate monitoring and screening thresholds, validate models, and partner with Product, Engineering, and investigations teams to minimize false positives while maintaining detection performance. Represent model logic and tuning to regulators and banking partners.

Lead end-to-end development of 0-to-1 fintech AI products, partnering with executives to design, prototype, and ship AI-driven features across backend and frontend, evaluate emerging AI technologies, and bootstrap scalable technical foundations for future teams.

Partner with CEO/CFO to deliver executive-grade data, own global forecasting engine, build causal inference and time-series models, drive generative AI strategy and production, and scale a data science and engineering team to inform capital allocation and long-range planning.

Lead technical strategy and architecture for an agent-centric software development platform, designing AirDev, AirForge, and Quartermaster. Build event-driven integrations (Kafka, webhooks, APIs), define governance for autonomous AI agents, drive platform scalability/availability, mentor senior engineers, and raise security and operational maturity across containerized, cloud-native systems.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform solutions, build scalable multi-region pipelines, enforce governance and security, mentor the team, advocate best practices, and influence technical roadmaps to enable AI/ML-driven business impact.

Lead design and delivery of AI-driven solutions using language models and vector databases to optimize business accounts. Define AI strategy, architecture and APIs, collaborate cross-functionally, build scalable backend systems, troubleshoot production issues, and drive product roadmaps to improve customer and internal efficiency.

Lead end-to-end design and rapid delivery of 0-to-1 fintech products with the Founders' Lab. Collaborate with executive leadership to define product direction, build MVPs, deploy to live users, iterate quickly, and balance rapid experimentation with sound backend architecture and occasional frontend/API work. Operate as a product-minded senior engineer in high-ambiguity, fast-paced environments.

Design and deploy agentic AI systems that automate multi-step financial workflows. Architect agents using frameworks like LangChain and LlamaIndex, apply prompting, RAG, and fine-tuning, optimize reasoning and tool use, build feedback-driven systems, and integrate AI reasoning securely into production backend and frontend services.

Architect and lead the Data, Knowledge, and Skills layers enabling analytics, AI agents, and real-time decision systems. Design governed Databricks-based data models, semantic layers/metric stores, agent interfaces, governance-as-code, and regional data localization to ensure compliance, quality, and consistent metrics across the business.