Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead design and governance of enterprise Retrieval-Augmented Generation data stores and retrieval architecture. Define embedding strategies, vectorization workflows, indexing, metadata models, hybrid retrieval, relevance tuning, and observability. Evaluate vector DB platforms, set standards and guardrails, partner with pipeline and context engineers, mentor teams, and balance innovation with security, scalability, and operational reliability.

Lead architecture and delivery of a modern UI platform powering LLM-driven and agent-assisted SDLC workflows. Build scalable frontend frameworks, component systems, and real-time conversational interfaces that integrate LLMs, agent orchestration, and backend services. Define UX patterns for human-in-the-loop workflows, ensure enterprise security/IAM compliance, drive frontend standards, developer adoption, and cross-team collaboration to improve developer productivity and platform quality.

Underwrite and analyze corporate, project finance and tax equity transactions. Perform qualitative and quantitative due diligence, stress testing and financial modeling; prepare credit approval documentation; review counterparty credit profiles; and collaborate with credit, risk, and market partners.

Serve as a Treasury implementation consultant defining end-to-end technical requirements and functional designs, working with business partners, developers, and testers to deliver complex enterprise treasury applications and ensure timely project delivery and client satisfaction.

Lead a team focused on delivering technology products for automated patching and repaving in a secure, scalable environment while coaching staff and managing stakeholder relationships.

Design and deliver DMZ and cloud networking architectures (SASE, SDWAN, VPN) ensuring security, resiliency, and compliance. Lead solution design, create HLD/LLD, guide stakeholders, run POCs, troubleshoot multivendor environments, and contribute to architecture roadmaps and automation.

Responsible for designing tools and services for mainframe storage, managing deployments and integrations, and supporting technical projects while ensuring compliance with architecture standards.

Lead and build an engineering organization to define architecture and technical strategy for agentic AI runtime platforms. Drive runtime performance, profiling, monitoring, orchestration, load testing, SRE practices, and platform scalability to improve latency, throughput, resiliency, observability, and developer experience across the SDLC.

Lead strategy, delivery, and governance for enterprise AI and generative AI platforms. Build and manage teams, drive platform adoption, implement Power Platform governance, ensure secure-by-design engineering and compliance, partner with Risk/Security/Compliance, and measure business value from AI initiatives.

Lead design and delivery of enterprise-grade modern database platforms (MongoDB, Redis, graph DBs). Define architectures, automation, IaC, API-driven self-service, HA/DR, performance/sharding strategies, and integrate platforms with cloud, compute, storage, network, security, and observability. Mentor teams, produce reference models/playbooks, and drive platform adoption and continuous improvement.