Top Tech Jobs & Startup Jobs in Charlotte, NC

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.

Designs, deploys, configures, and troubleshoots AWS cloud and network infrastructure for client engagements. Responsibilities include cloud migrations, security controls, firewall configuration, architecture design, technical documentation, and translating client requirements into scalable solutions. The role also manages workstreams, reviews junior team members’ deliverables, provides mentorship, and maintains client relationships through technical support and status communication.

Leads payer back-office strategy, technology, and operations consulting engagements for health services clients. Responsibilities include modernizing payer operations, optimizing processes, analyzing business data, managing change, improving service delivery models, coaching teams, engaging stakeholders, and validating quality and compliance outcomes. The role leads large projects and develops strategic recommendations for operational excellence.

Leads consulting engagements focused on product development and manufacturing transformation. Diagnoses lifecycle bottlenecks, improves cost, quality, speed to market, lean processes, supply chain integration, and digital operations. Manages client workstreams, teams, budgets, deliverables, and risks while coaching junior staff. Develops client recommendations involving product strategy, roadmaps, positioning, and go-to-market planning, and applies analytics, AI, and emerging technologies to improve operational performance.

Leads customer-centric marketing strategy consulting, customer journey analysis, segmentation, marketing automation, digital campaigns, and campaign performance optimization. Manages client relationships, business transformation initiatives, and marketing operations while coaching teams and mentoring staff. Uses Adobe Campaign, Adobe Marketo Engage, AI fluency, and digital tools to improve customer engagement, loyalty, and revenue growth.