Top Tech Jobs & Startup Jobs

Lead design and implementation of production-grade agentic AI systems and shared frameworks. Drive architecture, orchestration, RAG pipelines, model integration, evaluation, observability, and safety. Influence cross-team technical direction, mentor senior engineers, run design reviews, and deliver complex agentic initiatives from concept to production in a regulated enterprise environment.

Build and operate production-grade agentic AI systems and LLM-powered customer features. Design RAG pipelines over sensitive financial data, contribute to shared AI infrastructure (LLM services, agent orchestration, evaluation/monitoring), and own reliability, security, and compliance in production. Collaborate with product and design to deliver customer-focused AI solutions.

Lead and build the Quality Assurance program for Credit Review by conducting QA reviews, evolving KPI/OKR reporting, tracking issue remediation, analyzing QA trends, supporting audits and regulatory exams, and preparing Board and management reporting to improve consistency and control across the credit review function.

Lead a global Mission Control team monitoring and resolving system failures, direct incident response, implement technical service strategies, improve operational efficiency, drive observability and AI Ops adoption, and mentor senior technical staff to ensure uptime for critical transaction systems.

Lead product work to build agentic membership experiences within LLM channels: define user flows and requirements, partner with engineering and design, prepare Amex assets for LLM use, define success metrics, build dashboards, analyze customer needs, and coordinate cross-functional launch readiness including Legal, Compliance, Risk, and Privacy.

Lead product management for Internal Audit Group transitioning to Optro and iterating on Tempus. Develop roadmap, perform discovery, define MVPs, translate requirements into features and user stories, drive testing, releases, change management, and measure outcomes through data and cross-functional collaboration.

Design, develop, test, and maintain enterprise Java applications and microservices. Participate in code reviews, automated testing, environment monitoring, and collaborate with product teams while following security and regulatory best practices.

Design, build, and maintain scalable Spark/Python data pipelines and automated workflows. Enforce data governance, quality, lineage, and observability. Support ML pipelines (feature engineering, validation, monitoring) and document data assets, contracts, and standards.

Support onboarding and ongoing operations for Hyperdrive, coordinating Product, Engineering, and customer teams. Track onboarding progress, investigate issues using metrics and technical tools, document processes, gather feedback, and support product planning, backlog refinement, testing, and release readiness. Act as day-to-day contact for customers and translate technical details into actionable guidance while driving continuous improvement.

Design, develop, and maintain secure, scalable APIs and backend services for digital payment experiences. Collaborate with product, UX, and engineering teams to translate requirements into microservices-based solutions; drive architecture, code quality, CI/CD, observability, and operational excellence; mentor engineers and stay current on emerging technologies to improve platforms and customer experiences.