Top Artificial Intelligence Jobs in Charlotte, NC

Manage complex environmental, pollution, toxic tort, and mass litigation claims from investigation through resolution. Determine coverage, assess liability, set reserves, negotiate settlements, authorize payments, and manage litigation strategy. Oversee defense counsel and consultants, collaborate with legal, underwriting, reinsurance, brokers, and policyholders, monitor relevant legal developments, protect confidential claim data, mentor colleagues, and advise on claims policies and procedures.

Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverages, and converts prospects into policyholders. The role includes paid licensing and sales training, customer relationship building, persuasive communication, and adherence to remote work and scheduled shift requirements. Candidates need sales or service experience, strong interpersonal skills, PC proficiency, and a Property and Casualty license after hire.

This 11-week internship provides hands-on training in surety underwriting, financial analysis, risk assessment, relationship management, and business decision-making. Interns work alongside experienced underwriters, evaluate financial strength and business risk, support bonding decisions, participate in mentorship and job shadowing, and learn about the surety bonding process through the AFSB curriculum.

Leads internal communications and change initiatives, developing strategies, messaging, executive content, and employee engagement campaigns. Manages communication workstreams, timelines, deliverables, digital channels, stakeholder alignment, and performance analysis. Coaches team members, translates complex business updates into clear messaging, and improves communication processes across PwC’s Internal Firm Services practice.

Manage client data, analytics, and AI managed-services workstreams. Develop data pipelines, dashboards, reporting, and analytics outputs; remediate data-quality issues; tune AI models and platform components; and improve data operations, observability, and reporting workflows. Collaborate with clients to translate business needs into data solutions, interpret insights, review deliverables, and mentor junior team members.

Leads client managed services engagements involving data, analytics, and AI operations. Oversees project planning, budgets, timelines, data quality, master data management, pipelines, platform maintenance, model tuning, and performance monitoring. Translates business requirements into data solutions, reviews deliverables, manages risks, and coaches team members while promoting AI-enabled automation and adherence to professional standards.

Lead the full sales cycle for SME and growth customers, from prospecting through negotiation, closing, onboarding, and early customer success. Sell fintech solutions including payments acceptance, cross-border payments, billing, and spend management. Generate pipeline, exceed revenue targets, consult with clients, negotiate contracts, collaborate cross-functionally, support partnerships, and improve scalable sales processes.

Design, develop, test, deploy, and support enterprise Java applications, REST APIs, microservices, and batch-processing platforms. Lead system design, code reviews, modernization, security, performance optimization, production support, incident resolution, and CI/CD improvements. Collaborate with business, QA, DevOps, and architecture teams while mentoring junior engineers and using approved AI tools to improve development workflows.

Leads logistics analytics and systems projects across transportation, warehousing, inventory, and integrated supply chain operations. Translates operational problems into process, data, and technology solutions; develops SQL analyses, Tableau dashboards, and Python automation; and improves KPI visibility, cost, productivity, service, and data integrity. Coordinates requirements, testing, training, change management, stakeholder communication, and benefits tracking across Logistics, IT, Finance, and external providers.

Leads the architecture, technical delivery, integrations, data foundation, reliability, compliance, and continuous improvement of Coupa’s revenue systems stack. Establishes platform standards, roadmaps, automation and AI capabilities, change controls, and incident management practices. Partners with IT, Information Security, Procurement, Finance, and vendors; evaluates and consolidates platforms; and oversees technical delivery across Salesforce and other go-to-market systems.

Designs, develops, deploys, and scales advanced AI and machine learning models and systems. Leads research initiatives, architecture decisions, technical design reviews, and continuous improvement efforts. Collaborates with data scientists, software engineers, and product managers, while mentoring engineers and communicating strategies to executive stakeholders. Applies data mining, modeling, NLP, deep learning, and statistical techniques to solve complex product and systems problems.

Ten-week sales internship supporting field sales and account management teams. Responsibilities include learning employee benefits products, developing broker and client relationship skills, using Salesforce, BenefitFlow, Tableau, and generative AI tools, collaborating cross-functionally, participating in professional development, and completing a capstone project. The intern will gain practical experience in business development, sales support, analytics, and client-facing business operations.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Build production security tooling and infrastructure using Terraform, Bash, Go, and Python. Partner with product engineers to design secure features, review Terraform and IAM configurations, automate security workflows, and advise teams on pragmatic vulnerability remediation. The role emphasizes developer enablement, scalable security libraries and tools, cloud security, containerization, and responsible AI use.