Own and develop production AI systems including agent workflows, retrieval pipelines, and LLM integration layers for banking clients. Build evaluation infrastructure and backend services to ensure reliable, auditable, and high-uptime AI products.
Lead the technical design and delivery of complex AI engagements for banking clients, building bespoke integrations and agentic systems. Act as the primary technical authority for client CTOs and CISOs while mentoring mid-level engineers and influencing the platform roadmap.
Build and ship agentic AI workflows on the Titan platform to solve specific banking use cases such as lending and compliance. Partner directly with clients to gather requirements, prototype solutions, and integrate feedback into the platform.
Establish and own the entire QA function, including building an evaluation framework for LLM outputs and setting up CI/CD quality gates. You will design automated test suites for backend APIs and AI workflows while ensuring compliance with SOC 2 standards.
Establish and lead the QA function by building an AI evaluation framework and automated test suites for LLM outputs and backend APIs. Ensure regulatory compliance by producing audit-ready test artifacts and integrating quality gates into CI/CD pipelines.
Establish and operate the SRE practice, including SLO frameworks, on-call rotations, and incident response for banking customers. Define production support structures and set the overall engineering operating system for release rituals and compliance documentation.
Serve as the primary post-sale point of contact for banking clients to guide them through onboarding, adoption, and scaling of the AI platform. Act as a bridge between clients and internal product teams to shape the roadmap based on user feedback.
Manage end-to-end agentic-enabled client support and drive platform adoption through guidance on prompting and workflows. Synthesize client feedback for product teams and investigate technical platform issues with rigor.
