Top Artificial Intelligence Jobs

Develop and maintain Power BI reports, dashboards, visualizations, semantic models, and analytics solutions. Translate business requirements into scalable technical solutions, optimize queries and data models, ensure reporting accuracy and performance, and support data governance. Serve as the primary liaison for business users, provide training and troubleshooting, manage tickets, and collaborate with Data and QA teams. The role also advances AI and machine learning capabilities, mentors colleagues, and contributes to automation, documentation, and code reviews.

Leads financial due diligence and performance analytics engagements for corporate and private equity clients during transactions, integrations, divestitures, and carve-outs. Responsibilities include data extraction, modeling, visualization, forecasting, AI-enabled automation, strategic counsel, client relationship development, team leadership, mentoring, and translating complex findings into actionable recommendations. Requires transaction services, quality of earnings, working capital, cash flow, and advanced analytics experience.

Leads ANA’s Measurement for Marketers practice, setting strategy for enterprise and paid-media measurement. Represents marketers with senior industry stakeholders, measurement providers, platforms, agencies, and standards organizations. Oversees research, guidance, conferences, councils, events, and thought leadership while leading a three-person team. Builds cross-industry coalitions, advances measurement standards, monitors developments in data, technology, privacy, and AI, and connects marketing measurement to business growth and enterprise value.

Provides pre-sales technical expertise for MPC and APC solutions. Leads customer discovery, opportunity qualification, benefits studies, process and historical data analysis, solution scoping, proposal development, technical presentations, and sales handoffs. Assesses manufacturing processes, quantifies business value, develops engineering estimates and bills of materials, addresses technical objections, and supports strategic sales pursuits. The role requires manufacturing or customer-support experience, 40% travel, and strong knowledge of process optimization and control strategies.

Leads cybersecurity governance, RMF implementation, authorization activities, continuous monitoring, vulnerability management, and DoD compliance for information systems and mission environments. Oversees SSPs, SARs, POA&Ms, security assessments, audits, risk mitigation, and authorization readiness. Coordinates with ISSOs, system owners, engineers, assessors, and government stakeholders while mentoring cybersecurity personnel. Evaluates security risks for cloud, AI, autonomous systems, prototypes, and emerging technologies.

Owns strategy for a defined market segment, shaping go-to-market plans, coordinating cross-functional teams, driving product adoption and revenue, and building executive customer relationships. The role uses customer and industry insights to guide product priorities, sales and services strategies, retention, and market positioning for AI-driven clinical trial software.

Leads enterprise-wide cybersecurity strategy, architecture, governance, and operations. Builds security culture and high-performing teams while overseeing cloud, identity, data, threat, incident response, resilience, and third-party security. Advises executives on cyber risk and investments, advances AI-driven security and responsible AI governance, and demonstrates measurable business value through improved resilience, trust, and innovation enablement.

Provides regional and interim leadership for plant operations across senior living communities. Oversees maintenance, environmental services, life safety, regulatory compliance, preventive maintenance, TELS administration, vendor relationships, capital projects, emergency preparedness, budgets, inspections, and corrective actions. Leads and coaches plant operations teams, assesses facility risks, supports construction and renovation efforts, and travels extensively to maintain safe, compliant, and well-functioning communities.

Develops and deploys predictive models and machine learning solutions for clients. Leads or mentors analysts, developers, and data consumers; designs cloud data environments, pipelines, statistical models, and data visualizations. Transforms structured and unstructured data into actionable insights, validates and engineers features, and advises clients on applying predictions to mission objectives. The role requires Secret clearance and a bachelor's degree, with DoD data platform and advanced clearance experience preferred.

Drive new enterprise business and expand existing accounts by selling complex IT solutions, including hardware, software, cloud, cybersecurity, and managed services. Identify customer needs, develop proposals, coordinate with sales support and engineering teams, and build executive-level relationships. The role requires closing large technology opportunities, managing sales strategy, maintaining vendor certifications, and traveling to clients as needed within the Minneapolis–St. Paul area.

Lead Solventum’s enterprise business resilience program, including governance, business impact analysis, continuity planning, crisis management, exercises, remediation, and executive reporting. Coordinate business continuity with technology resilience, cybersecurity incident response, supply chain, manufacturing, and enterprise risk teams. Establish methodologies, standards, recovery requirements, dependencies, corrective actions, dashboards, and audit evidence. Support crisis activations and post-incident improvements while advancing responsible use of AI and automation.

Leads cybersecurity engineering efforts across system architecture, design, development, configuration, and security requirements integration. Conducts security solution research and alternatives analysis, develops security architectures and roadmaps, translates regulations into security processes, and oversees junior and senior cybersecurity engineers. The role focuses on enterprise cloud and on-premises systems, big data, automation, augmentation, and artificial intelligence technologies.

Designs, implements, supports, and improves enterprise integrations, middleware, APIs, automation, data exchanges, reporting platforms, and system connectivity. Troubleshoots complex production issues, develops documentation, improves monitoring and operational reliability, and partners with business, technical, security, analytics, and vendor teams. The role also supports UKG Ready integrations, AI and automation initiatives, governance, technical standards, modernization efforts, and mentorship.

Leads strategic technology engagements with enterprise and government customers, advising CXO-level stakeholders on Microsoft solutions, cloud adoption, security, digital transformation, and long-term technology roadmaps. Orchestrates Microsoft, partner, and customer teams; develops account plans; generates and advances sales opportunities; supports consumption and quota goals; and serves as a trusted technical advisor and customer advocate. The role requires technical consulting or consultative selling experience, with federal experience and Secret clearance preferred.

Leads complex, cross-functional programs spanning business areas, products, regions, and functions. Defines strategy, governance, roadmaps, integrated plans, success measures, and executive decision structures. Manages risks, dependencies, budgets, change impacts, benefits, and stakeholder alignment while influencing without direct authority. Coaches project managers, improves delivery practices, and applies responsible AI and automation to enhance planning, reporting, decision support, and execution quality.

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 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.

Manages Image Recognition and Smart Sell applications, master data, data pipelines, databases, and Power BI dashboards. Ensures data quality and supports data preparation, transformation, analysis, and reporting. Partners with commercial stakeholders, regional IT teams, and vendors to translate business needs into practical technology and analytics solutions, resolve issues, and drive adoption.

Own the Insurance subvertical’s growth strategy, booking targets, pipeline, and financial performance. Develop insurance value propositions and execute joint go-to-market plans with resellers and hyperscaler partners. Build strategic alliances, enable partner and sales teams, and drive demand generation and thought leadership. Advise customers and internal stakeholders on claims modernization, actuarial analytics, AI underwriting, regulatory reporting, and insurance data compliance.

Lead global Procure-to-Pay transformation, process harmonization, supply chain strategy support, change management, performance reporting, technology and master data management, stakeholder collaboration, and governance. The role drives adoption of procurement platforms, improves purchasing and payment processes, ensures compliance, and partners with procurement, planning, logistics, customer service, and supply chain leadership across regions.

Founding Head of Product responsible for defining and shipping an AI-powered agentic platform across insurance and BPO operations. The role owns the transformation roadmap, embeds with operating teams to identify high-impact workflow improvements, and delivers products that improve margins and unit economics. Responsibilities also include evaluating acquisition targets, shaping platform strategy, prototyping AI solutions, and deploying systems into live enterprise environments.

Lead the sourcing, underwriting, negotiation, and closing of acquisitions for an insurance BPO roll-up. Build the acquisition pipeline through insurance networks, brokers, and owner outreach; assess AI-driven transformation opportunities with engineers; structure transactions; support integration; and shape the long-term roll-up strategy.

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.

Lead and develop a software engineering team building cloud-native AI agents, assistants, orchestration frameworks, tooling, and observability solutions. Own technical strategy, architecture, delivery, reliability, security, scalability, operational excellence, and production support. Partner with product, data science, architecture, and business teams while managing releases, resources, risks, and multiple initiatives. Coach engineers, improve engineering practices, and ensure responsible AI and governance compliance.

Leads pre-sales technical discovery and solution engineering for Cloudflare’s AI and startup customers. Partners with sales teams and technical founders, maps business and AI initiatives to Cloudflare’s Developer Platform, delivers demos and proof-of-concepts, develops reference architectures, and builds technical champions. The role requires strong knowledge of serverless, edge, networking, security, cloud, and AI application patterns, plus the ability to communicate with developers and executives. Up to 50% travel is required.