Artificial Intelligence Jobs in Columbia, SC

Provides strategic and technical leadership for industrial hygiene and safety engineering programs supporting a major account. Responsibilities include hazard identification, exposure assessments, risk prioritization, control evaluation, robotics and automation safety reviews, onsite assessments, facility modernization support, executive reporting, KPI tracking, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel and requires expertise in industrial hygiene sampling, occupational exposure limits, safety engineering, and regulatory standards.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads global product strategy and lifecycle management from definition through end of life. Drives product innovation, market research, competitive analysis, commercialization, pricing, and go-to-market planning. Develops roadmaps, aligns cross-functional teams, identifies growth opportunities, and oversees multiple initiatives. The role also promotes AI and agile practices, advances technology, mentors team members, and cultivates collaborative, innovative product environments.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Executes outsourced controllership and accounting processes, including client interaction, financial document review, data management, quality control, compliance reviews, contract assessments, and query resolution. The role optimizes business processes, monitors service levels, documents quality metrics, applies analytical thinking and AI-enabled tools, and develops client relationships while supporting team delivery and continuous improvement.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Leads business origination and revenue growth for Grant Thornton’s Business Process Outsourcing solution. Builds executive relationships, identifies and qualifies prospects, develops pipeline, leads pursuits, structures pricing, negotiates multi-year outsourcing programs, and coordinates cross-functional advisory experts. The role promotes outsourcing, shared services, technology modernization, automation, and AI solutions while maintaining CRM discipline and market visibility through events and thought leadership. Travel is approximately 25%, with hybrid in-person attendance required at least three days weekly.

Leads Cyber & Risk business growth through daily prospecting, executive relationship development, complex solution selling, account strategy, pursuit leadership, pricing, and negotiation. Designs integrated advisory solutions spanning cybersecurity, privacy, compliance, internal audit, controls, and forensics. Partners with cross-functional leaders to build proposals, manage executive-level sales presentations, activate market presence, and secure multi-year programs. Requires 10+ years of advisory or consulting sales experience and travel up to 25%.

Leads finance for the Services segment, partnering with operating leaders on P&L performance, pricing, forecasting, planning, contract economics, KPIs, and executive reporting. Supports acquisition diligence, deal modeling, integration, and post-close performance. Builds the Services finance team and standardizes acquired businesses onto company systems while deploying AI and automation to scale finance processes.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Design and implement AI-enabled integration solutions, cloud architectures, and enterprise technology platforms. Lead strategic planning, analyze business requirements, conduct feasibility studies, coach teams, manage stakeholders, and validate solutions with clients. Apply generative and agentic AI, IoT, sensor data, systems thinking, and enterprise architecture practices to solve complex business problems and drive innovation.

Lead Microsoft Dynamics 365 CRM implementations, architect solutions, manage project lifecycles and client accounts, mentor teams, ensure quality and post-go-live support, and drive innovation and continuous improvement.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Generate and qualify new business opportunities across TNC Services, managing leads from initial market signals through qualification and handoff. Own account research, CRM accuracy, pipeline forecasting, buyer relationships, cross-selling, event networking, and coordination with service-line owners. The role requires communicating complex technical offerings to utilities, government, nuclear, infrastructure, and industrial stakeholders while meeting qualified-opportunity targets and traveling regularly.

Leads enterprise AI strategy, data foundations, governance, risk management, and adoption across a regulated banking organization. Establishes roadmaps, governance frameworks, decision rights, data standards, reusable enablement practices, and value measures. Guides strategic AI and data use-case prioritization, prototyping, and early delivery while coordinating with business, technology, risk, compliance, legal, security, and audit stakeholders. Oversees a multidisciplinary team, develops talent, allocates resources, and communicates strategy and outcomes to executive and regulatory audiences.

Design and enforce secure AI architecture and controls across the enterprise. Partner with Architecture, Delivery, Privacy, IAM, Vendor Risk, CSOC, Legal and business owners to translate AI risk, security, privacy and compliance requirements into reference architectures, implementation guidance, and reviews. Provide technical oversight for complex projects, mentor staff, evaluate vendor solutions, author whitepapers, and support RFPs and audits to ensure AI solutions are secure and compliant.

Leads the engineering organization responsible for developing and executing fleet-scale nuclear power plants. Builds multidisciplinary teams, establishes engineering governance and technical controls, oversees lifecycle engineering from design through operations, and manages reactor technology providers, architect-engineers, EPCs, suppliers, utilities, and regulators. Drives constructability, operability, standardization, configuration control, nuclear safety, regulatory compliance, and AI-enabled engineering productivity across repeatable nuclear projects.

Leads the financial and operational internal audit plan, directing concurrent audits, supervising audit staff, reviewing audit quality and findings, and advising senior management. Oversees risk assessments, internal controls, audit reporting, strategic improvement initiatives, and quality programs. Evaluates and deploys AI-enabled audit tools, prepares executive and committee presentations, manages audit issues, and coordinates with enterprise risk, compliance, and information security functions.