Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead Applied AI strategy and execution across Employee Benefits and Operations, overseeing ML, generative and agentic AI, RAG, and predictive analytics lifecycles. Drive governance, model risk management, evaluation, deployment, cross-LOB prioritization, talent architecture, and regulatory readiness to improve enrollment, billing, service, and operational efficiency.

Lead technical design and delivery of cloud-native .NET solutions on AWS, driving engineering best practices, CI/CD, DevSecOps, and event-driven architectures. Provide hands-on development, troubleshoot distributed systems and APIs, incorporate AI/GenAI where appropriate, and mentor engineers to raise technical maturity.

The AVP Applied AI leads data science and AI capabilities at The Hartford, managing complex AI portfolios and ensuring delivery of business value through scalable models and AI-driven systems. Responsibilities include overseeing team performance, technical direction, AI governance, and alignment with business outcomes, along with collaboration across departments and continuous improvement initiatives.

Lead planning, forecasting, and performance analysis for P&C lines; partner with finance, actuarial, and business leaders to provide insights, govern models, automate processes, and prepare executive reporting. Drive assumptions for loss ratios, catastrophes, reinsurance analyses, and earnings prep while mentoring a team and implementing analytics and AI-enabled improvements.

Lead and build enterprise third‑party data APIs: own roadmap and product decisions, design and deliver secure, scalable REST APIs, collaborate with vendors and domain teams, ensure reliability/observability with SRE/Reliability Engineering, translate business needs into technical requirements, and mentor data engineers while driving API governance, performance, and cost optimization.

Hands-on technical leader designing and building scalable, cloud-native claims applications on AWS. Architect and implement Generative/Agentic AI (LLMs, RAG, agents), mentor engineers, drive DevOps and IaC (Terraform), and collaborate with cross-functional teams to deliver secure, maintainable enterprise software.

Architect and build production-grade agentic AI systems and platforms using Google ADK, MCP, LangChain/LangGraph, and AlloyDB. Develop agent harnesses, RAG/GraphRAG pipelines, vector retrieval and memory stores, Terraform-based GCP infrastructure, CI/CD for model deployments, and enterprise security and governance for sessioned agent interactions.

Lead design and delivery of scalable, secure software across full stack and cloud. Collaborate with product and architecture teams, mentor engineers, drive best practices, integrate AI-assisted tools, and participate in the full SDLC to ensure system stability and performance.

Lead infrastructure resilience for cloud and SaaS systems by implementing observability, IaC, CI/CD automation, incident triage and self-healing. Build tooling, alerts, AI-driven anomaly detection and runbooks, partner with architecture and infrastructure teams to improve reliability, performance, and security.

Lead development and maintenance of workers' compensation pricing methodologies and tools. Update model parameters, drive pricing initiatives, collaborate with underwriting/product/data science/IT, provide profitability analyses, and support implementation to improve accuracy, segmentation, and profitable growth across business segments.