Top Tech Jobs & Startup Jobs in Charlotte, NC

Supports financial services consulting projects through research, process analysis, data gathering, process mapping, presentation development, project coordination, and operational documentation. The intern assists with evaluating operating models and process efficiency across banking, insurance, and asset management, uses digital and AI-enabled tools, tracks deliverables, and supports client-facing teams while developing consulting, communication, and commercial skills.

Supports financial services risk consulting teams through research, data analysis, report and presentation preparation, and client-focused project work. The intern gains exposure to risk management, financial reporting, sustainability strategies, and PwC methodologies while collaborating with experienced professionals and developing consulting skills.

Leads client-facing generative AI and data modernization engagements, directing solution design, delivery planning, architecture, and technical decisions. Guides teams in prompt engineering, context engineering, agent orchestration, LLM evaluation, RAG, vector databases, and AI guardrails. Oversees cloud AI implementations using Gemini, Vertex AI, AWS Bedrock, or Azure AI Services; develops Python prototypes; evaluates model performance; manages workstreams and deliverables; and mentors staff on AI methods, agile delivery, and technical problem-solving.

Leads AI and data solution architecture for client transformation programs. Designs generative AI, data modernization, LLM, vector database, RAG, and LLMOps solutions; develops roadmaps and evaluation frameworks; advises executives; drives innovation; manages workstreams, client relationships, business growth, thought leadership, and team mentorship.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads client-focused generative AI and data modernization architecture, translating business needs into scalable solutions using Google Cloud, Vertex AI, LLMs, vector databases, and modern data platforms. Advises stakeholders, develops AI evaluation and guardrail practices, guides experimentation and deployment, presents technical recommendations, supports proposals, and coaches teams through complex transformation programs.

Leads AWS cloud infrastructure and operations delivery for client environments. Manages project planning, budgets, timelines, architecture, migrations, network deployments, incident resolution, service management, and operational readiness. Reviews technical deliverables, improves operations through automation and AI-enabled workflows, builds client relationships, communicates risks and status, and mentors junior professionals. The role requires at least five years of cloud infrastructure delivery experience, including two years leading enterprise-scale AWS work.

Leads client-facing AWS cloud infrastructure and operations engagements, including platform design, deployment, networking, security controls, migration planning, and modernization. Advises clients on cloud strategy, landing zones, architecture patterns, and solution economics. Oversees complex workstreams, validates technical outcomes, manages delivery risks, communicates with stakeholders, and coaches teams in cloud engineering and operational practices.

Performs tax compliance and advisory work for asset and wealth management clients. Reviews financial data, prepares tax returns and workpapers, researches tax law, identifies filing risks, and supports technical issue resolution. Coordinates engagement workstreams, manages deadlines, communicates with clients, reviews junior team members’ work, and improves recurring tax compliance processes.