Top Tech Jobs & Startup Jobs in Charlotte, NC

As a Staff AI Engineer, you will develop backend services, integrate APIs, and optimize existing systems within a complex AI platform environment, collaborating with cross-functional teams and ensuring high reliability and performance.

The Principal Architect will lead the design and delivery of complex multi-domain systems, focusing on cloud, data, and AI. Responsibilities include defining technical strategy, mentoring engineers, and ensuring compliance and performance of architectures.

Lead design, implementation, testing, and maintenance of mobile and web software. Build APIs and web applications, author documentation, create prototypes, perform code reviews, collaborate with designers and QA, support releases and post-release maintenance, mentor peers, and provide technical input for project estimates and sales.

The Staff Full Stack Engineer will design and deliver complex enterprise integration platforms, focusing on full-stack applications and AWS data pipelines while mentoring junior engineers.

The Staff Full Stack Engineer will lead complex platform integrations, define technical strategies, build scalable systems, mentor junior engineers, and communicate architectural decisions effectively.

Lead design and delivery of enterprise generative and agentic AI systems on AWS. Architect Bedrock-based RAG and multi-agent platforms, prototype in Python, ensure security, observability, IaC, and guide clients from discovery to production.

Responsible for client P&L, building C-suite relationships, winning high-value deals, and ensuring client success while mentoring others.

Lead end-to-end GenAI and agentic AI product initiatives for enterprise clients: define strategy and roadmap, run discovery and experiments, prototype and productionize agents, establish evaluation metrics and guardrails, manage deliveries, and partner with stakeholders and AWS to ensure scalable, secure deployments.

Lead AI strategy engagements, manage complex client relationships, drive discovery, and deliver actionable plans to increase business effectiveness with AI solutions.

Lead AI architecture and technical strategy across the full lifecycle: design, build, and operate LLM-powered systems and scalable ML platforms. Implement event-driven, distributed systems, integrate AI with enterprise backends, ensure reliability/security/monitoring, and mentor engineers while shaping organizational AI standards and roadmaps.