Top Tech Jobs & Startup Jobs in Charlotte, NC

Own and grow a global portfolio of data and vertical-AI partners to drive pipeline, partner-sourced revenue, co-innovation, co-marketing, and co-selling. Build joint value propositions and multi-year partner roadmaps, enable data integrations with Celeste (via MCP and agent integrations), manage executive relationships, engage in sales opportunities, embed partner plans into business units, and report partner outcomes while working cross-functionally and traveling as required.

Lead end-to-end AI deployments, working closely with enterprise teams to drive adoption, improve workflows, and deliver impactful AI solutions.

Develop, design, and maintain enterprise cloud applications including front-end, back-end, integrations, and databases. Contribute to technical requirements, perform code reviews, improve performance/scalability, participate in release planning, collaborate with cross-functional teams, and mentor junior engineers.

Design, develop, and maintain full-stack software using .NET, Angular, and relational databases. Drive the full SDLC, troubleshoot production issues, optimize performance, participate in code reviews, and produce technical documentation while collaborating with product, design, and engineering teams.

Lead end-to-end delivery of LLM-driven, agentic workflows from intake and prioritization through build, UAT, and production. Embed with business teams to scope friction, design integrations across OP4i, M365, Celeste, and Claude, measure impact, codify reusable playbooks, and govern safe deployment and adoption.

As a Senior AI Engineer, you will develop AI agent systems, design workflows, collaborate with teams, and ensure system sustainability using modern tools and architectures.

Design and maintain industry-specific solution blueprints using Intapp products. Translate industry and client requirements into deployable configurations, own roadmap and enablement, support sales and client-facing teams, and collaborate with product management to shape product direction.

Lead enterprise integration architecture and data strategy, own MDM and governance, design AI-powered integrations across ERP/CRM/warehouses and cloud, embed DevOps/DataOps, and manage cross-functional teams to deliver scalable, secure data and AI solutions.

Design, operate, and automate scalable, fault-tolerant cloud services on Azure. Drive standardization, CI/CD and configuration management, investigate and remediate reliability issues, develop observability and SLOs, implement deployments with Argo and Kubernetes, and participate in a 12-hour on-call rotation.

Provide hands-on corporate legal support including global subsidiary governance, M&A diligence and integration, treasury and securities assistance for a NASDAQ-listed company, and management of outside counsel and corporate policies.