Top Tech Jobs & Startup Jobs in Charlotte, NC

Hands-on staff full‑stack engineer who designs, builds, tests, deploys, and operates frontend and backend systems, integrates LLMs and AI tooling, implements RAG and prompt engineering, drives CI/CD and cloud infrastructure, troubleshoots production issues, and mentors teams to adopt AI‑augmented development practices.

Lead design, build, and deploy agentic and generative AI systems and scalable data platforms. Develop multi-agent frameworks, prompt engineering, LLMOps, vector search, and MLOps integrations. Drive AI-driven testing, optimize models for production, ensure ethical AI practices, and collaborate with product, engineering, and business stakeholders to embed AI solutions enterprise-wide.

The Senior Data Scientist will prototype machine learning models, evaluate emerging technologies, collaborate with business stakeholders, and mentor juniors while working on AI and computer vision innovations.

Senior technical leader owning end-to-end platform strategy, architecture, and delivery for Digital Enablement. Hands-on coding, driving modernization to cloud-native, API/microservices/event-driven designs, embedding AI-first practices, ensuring reliability, observability, and engineering excellence while mentoring teams and influencing cross-functional stakeholders.

Serve as primary compliance advisor for assigned commercial insurance business units, translate regulatory requirements into strategic guidance, lead cross-functional initiatives, manage regulatory matters and audit programs, anticipate emerging risks, and represent Compliance with senior executives and regulators.

Perform reserve studies for specialty financial lines (D&O, E&O, Cyber, EPL, Fidelity), monitor portfolio performance, develop reserving diagnostics and tools, partner with Claims and Pricing to evaluate reserve adequacy, analyze emerging claim trends and significant losses, and drive improvements in data quality, monitoring, and actuarial processes while translating analyses into actionable business insights.

The AVP, Software Engineering Lead oversees the engineering strategy focusing on AI-first approaches, driving modernization and efficiency in software development while ensuring governance and risk management.

The Knowledge Graph Engineer designs and implements semantic models and knowledge graphs, enabling explainable AI and operationalizing enterprise data solutions for analytics and AI systems.

Build and maintain scalable cloud-native ETL/ELT pipelines and data platforms to support analytics and ML. Implement IaC and CI/CD, enable MLOps, ensure data quality, monitoring, and collaborate with data scientists and product teams to deploy production AI services.

Design, build, and maintain scalable data assets and pipelines for analytics and ML; validate and ingest diverse data sources; perform exploratory data analysis and data quality checks; collaborate with cross-functional teams and produce reproducible code and documentation.