Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead engineering execution for predictive and applied AI model portfolios across pricing, underwriting, and sales. Build, deploy, and operate ML/AI pipelines and production services in AWS/GCP, support generative and agentic AI initiatives, ensure governance, monitoring, and production readiness, and mentor junior engineers.

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

The Staff Data Reliability Engineer ensures data integrity, quality, freshness, and availability across enterprise pipelines. Responsibilities include defining data SLOs, implementing observability, building resilient Informatica and Python/PySpark pipelines, automating validation and recovery, eliminating operational toil, leading data incidents and postmortems, creating runbooks, and applying AIOps, machine learning, and DataOps practices to detect anomalies and self-heal data workflows.

Leads enterprise IAM strategy, architecture, deployment, governance, and modernization using the Ping/ForgeRock Identity suite. Oversees authentication, authorization, federation, passwordless access, Zero Trust, lifecycle management, MFA, and identity risk reporting. Partners with technology, application, business, and security teams to enforce controls and regulatory requirements. Directs a global IAM engineering and administration team while communicating risks and platform strategy to senior leadership.

Build modern data and AI analytics solutions using ThoughtSpot, Snowflake, semantic data layers, and governed data assets. Develop ETL processes, AI prompts, intelligent dashboards, and interactive analytics experiences for actuarial teams. Partner with business and analytics stakeholders to support pricing, reserving, underwriting, and portfolio decisions while surfacing trends, explaining business drivers, and enabling actionable recommendations.

Designs and engineers reusable cloud data platform architectures, roadmaps, and architecture patterns across AWS, GCP, PySpark, Snowflake, Tableau, and ThoughtSpot. Provides technical guidance to internal customers, supports data integration, analytics, AI, and cloud migration initiatives, evaluates new technologies through hands-on proofs of concept, builds Infrastructure as Code and cloud platforms, incorporates DevOps and DataOps automation, and drives platform adoption.

The Senior AI Machine Learning Engineer will design and implement MLOps services, build AI solutions, and lead collaborations across multiple teams to enhance customer experiences.

Design, develop, and deploy cloud threat detection for AWS and GCP; integrate and normalize cloud telemetry into the enterprise SIEM; create and tune detections, dashboards, and alerting; map detections to MITRE ATT&CK; run adversary emulation and purple team exercises; produce SOPs, runbooks, and investigator playbooks; train SOC analysts; provide escalation and on-call support for cloud security incidents.

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 and implementation of automated test frameworks, drive Continuous Testing with GenAI, mentor QA teams, collaborate with vendors and stakeholders, integrate DevOps tooling, improve test coverage and quality metrics, and support release readiness through diagnostics and automation optimization.