Teams at AgileEngine

Build and own the enterprise AI context and knowledge layer, including knowledge graphs, semantic retrieval, RAG, connectors, APIs, and agent integrations. Design and evaluate AI agents, skills, workflows, and prompts; improve retrieval quality, reliability, security, and cost efficiency. Administer Slack, Google Workspace, Glean, and AI assistants while implementing access controls, monitoring, incident response, documentation, and governance. Lead cross-functional stakeholders and create reusable tooling that enables teams to manage context and scope AI use cases independently.

Owns BI product management for Quote-to-Cash and Order-to-Cash processes. Partners with finance, sales, legal, product, and engineering teams to identify operational issues and translate them into BI, AI, and machine learning opportunities. Develops PRDs, roadmaps, business requirements, dashboards, and data products covering quoting, contracts, billing, revenue recognition, and financial systems.

Architect low-latency .NET APIs and backend services while building Angular interfaces for a financial services platform. Develop microservices and message-driven systems, maintain strong automated test coverage, conduct code reviews, manage CI/CD and production observability, and define API contracts using OpenAPI/Swagger. Collaborate in Agile/Scrum environments to deliver analytical investment tools.