Top Artificial Intelligence Jobs in Charlotte, NC

Provide tax planning, compliance, and strategy advice to clients; prepare and file tax returns; analyze financial data; optimize tax positions; draft tax documents; mentor junior staff; build client relationships while upholding professional standards.

Deliver data engineering and ETL solutions to support client analytics. Build and maintain data pipelines, optimize SQL, design data architecture (star/snowflake models), create BI reports/dashboards, improve data quality, and support client engagements in regulated environments while learning and growing technical and client-facing skills.

Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.

Lead cross-functional programs to transform customer support with AI-powered automation, agent tooling, analytics, and vendor evaluations. Define roadmap, size opportunities, set success metrics/OKRs, manage dependencies, and drive rollout/change management while partnering with Product, Engineering, Analytics, and Operations to deliver measurable CX improvements.

As an Automation Engineer, you will lead industrial automation projects, troubleshoot issues, support various automation systems, and collaborate with cross-functional teams to enhance operational efficiency.

The role involves being a subject matter expert in Log Management, executing competitive strategies against legacy tools, architecting log-ingestion frameworks, and advocating for log consumption optimization with customers.

Drive new business sales of Qualtrics Market Research Edge subscriptions to enterprise accounts. Develop account plans, build executive relationships, coordinate with SDRs and solutions consultants, craft ROI-based business cases, negotiate deals, and position AI/ML-enabled insights offerings to meet client needs and expand revenue within an assigned territory.

Serve as the technical authority for ELD compliance product escalations, analyze device telemetry and fleet patterns, coordinate fixes with R&D via Jira, support audits/inspections, lead post-mortems and runbook/validation creation, build internal tools, and coach support engineers to improve resolution speed and product reliability.

The Senior Staff Software Engineer will lead major projects, drive architectural innovation, interface with customers for solutions, and mentor engineers. Experience in software engineering and a strong grasp of AI, cloud scale, and evolving technologies is essential.

The role involves leading a Customer Success team, defining strategies for customer engagement, and ensuring customer satisfaction through effective management and coaching.

Lead GTM strategy and execution for a defined portfolio: set positioning and messaging, coordinate cross-functional teams, build GTM infrastructure and competitive intelligence, enable sales with tools and training, measure impact against revenue goals, and partner with senior leadership to drive commercial outcomes and market presence.

The Staff Product Manager will define and execute the product vision and strategy for Stacks and project context experiences, collaborating cross-functionally, and helping users navigate complex workflows and systems.

As a Senior Infrastructure Engineer, you'll build scalable systems for a next-generation search platform, ensuring data integrity and user experience while collaborating with cross-functional teams.

Design, implement, and operate large-scale distributed storage systems ensuring data durability, availability, and performance. Build and maintain replication, erasure coding, and lifecycle systems; write high-quality Go/Rust/C++ code; participate in on-call rotations; troubleshoot production incidents; collaborate with networking, hardware, and capacity teams; lead scoped projects and drive infrastructure evolution.

Build and maintain eBPF-based network monitoring instrumentation in the Datadog Agent, debug production incidents spanning kernel/eBPF/agent runtime, research and prototype solutions for high-throughput, low-latency network observability, and provide technical input to product and architecture decisions.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.