Jobs at JazzX AI

Owns U.S. residential mortgage underwriting policy for an AI-powered mortgage application. Interprets Fannie Mae, Freddie Mac, FHA, VA, and USDA guidelines; validates AI-generated underwriting decisions; translates policies into business rules and decision logic; supports LOS workflows and product requirements; identifies policy gaps; and trains cross-functional teams and clients on underwriting standards.

Lead product strategy and execution for AI-native, enterprise workflow and platform products. Define high-impact problems, design reusable platform capabilities, partner with engineering and customers, and measure outcomes to drive adoption and continuous improvement.

Owns end-to-end product design for complex enterprise and AI-powered workflows. Conducts user research, develops and validates concepts, creates prototypes, designs intuitive interactions, maintains design systems, and partners with Product and Engineering to deliver production-ready experiences. The role requires simplifying complex processes, designing human-AI interactions, using AI tools to accelerate workflows, and influencing product direction through customer insights and data.

Lead the quality strategy for AI-powered products, including LLM outputs, agent workflows, APIs, cloud services, and enterprise deployments. Manage and mentor QA teams, build automation frameworks, develop AI-specific evaluation and regression testing, oversee performance and API testing, integrate tests into CI/CD, manage release sign-offs, and monitor model reliability and production behavior. Partner with Product, ML, Platform, DevOps, and leadership teams to drive quality initiatives.

Leads customer-facing technical delivery as a hands-on software engineering owner. Designs and implements production-grade backend services, APIs, distributed systems, integrations, and GenAI applications involving LLMs, RAG, and agentic workflows. Owns architecture, reliability, observability, troubleshooting, customer rollouts, and technical escalations. Mentors engineers, establishes delivery standards, collaborates across product and research teams, and converts customer insights into reusable platform components and patterns.

Own end-to-end product design for AI-powered enterprise software, from customer discovery and problem definition through prototyping, high-fidelity design, launch, and iteration. Partner with Product and Engineering to simplify complex workflows, create accessible and trustworthy experiences, evolve the design system, and raise UX and visual quality. Staff-level designers are expected to operate autonomously, influence product direction, and lead ambiguous, high-impact initiatives.

Lead the end-to-end technical product lifecycle for an AI-powered commercial lending suite. Define requirements, workflows, AI behavior, data models, APIs, integrations, evaluation standards, release readiness, monitoring, and deployment playbooks. Partner with Engineering, AI/ML, UX, Customer Success, and enterprise stakeholders to deliver reliable, explainable, reusable products for regulated environments while balancing customer needs with platform scalability.

Contract SME to design end-to-end commercial lending workflows, produce reusable artifacts (workflow maps, persona maps, document/data matrices, credit-package models, policy/approval logic, playbooks, validation rubrics), assess product readiness, and advise on where AI can safely support lending and servicing processes.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.